Style 1

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sagittis, sem quis lacinia faucibus, orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor.

Header one

Header two

Header three

Header four

Header five
Header six

This is default paragraph. Morbi sagittis sem quis lacinia faucibus, this is a text link orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Suspendisse consectetur fringilla luctus. Fusce id mi diam, non ornare orci. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor. Suspendisse consectetur fringilla luctus.

Single line blockquote:

Stay hungry. Stay foolish.

Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

Unordered Lists (Nested)

  • List item one
    • List item one
      • List item one
      • List item two
      • List item three
      • List item four
    • List item two
    • List item three
    • List item four
  • List item two
  • List item three
  • List item four

Ordered Lists (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

HTML Tags

These supported tags come from the WordPress.com code FAQ.

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

Anchor Tag (aka. Link)

This is an example of a link.

Abbreviation Tag

The abbreviation srsly stands for “seriously”.

Acronym Tag (deprecated in HTML5)

The acronym ftw stands for “for the win”.

Big Tag (deprecated in HTML5)

These tests are a big deal, but this tag is no longer supported in HTML5.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Delete Tag

This tag will let you strikeout text, but this tag is no longer supported in HTML5 (use the <strike> instead).

Emphasize Tag

The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

Keyboard Tag

This scarsly known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strike Tag (deprecated in HTML5)

This tag shows strike-through text

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 

Style 2

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sagittis, sem quis lacinia faucibus, orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor.

Header one

Header two

Header three

Header four

Header five
Header six

This is default paragraph. Morbi sagittis sem quis lacinia faucibus, this is a text link orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Suspendisse consectetur fringilla luctus. Fusce id mi diam, non ornare orci. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor. Suspendisse consectetur fringilla luctus.

Single line blockquote:

Stay hungry. Stay foolish.

Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

Unordered Lists (Nested)

  • List item one
    • List item one
      • List item one
      • List item two
      • List item three
      • List item four
    • List item two
    • List item three
    • List item four
  • List item two
  • List item three
  • List item four

Ordered Lists (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

HTML Tags

These supported tags come from the WordPress.com code FAQ.

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

Anchor Tag (aka. Link)

This is an example of a link.

Abbreviation Tag

The abbreviation srsly stands for “seriously”.

Acronym Tag (deprecated in HTML5)

The acronym ftw stands for “for the win”.

Big Tag (deprecated in HTML5)

These tests are a big deal, but this tag is no longer supported in HTML5.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Delete Tag

This tag will let you strikeout text, but this tag is no longer supported in HTML5 (use the <strike> instead).

Emphasize Tag

The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

Keyboard Tag

This scarsly known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strike Tag (deprecated in HTML5)

This tag shows strike-through text

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 

Style 3

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sagittis, sem quis lacinia faucibus, orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor.

Header one

Header two

Header three

Header four

Header five
Header six

This is default paragraph. Morbi sagittis sem quis lacinia faucibus, this is a text link orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Suspendisse consectetur fringilla luctus. Fusce id mi diam, non ornare orci. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor. Suspendisse consectetur fringilla luctus.

Single line blockquote:

Stay hungry. Stay foolish.

Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

Unordered Lists (Nested)

  • List item one
    • List item one
      • List item one
      • List item two
      • List item three
      • List item four
    • List item two
    • List item three
    • List item four
  • List item two
  • List item three
  • List item four

Ordered Lists (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

HTML Tags

These supported tags come from the WordPress.com code FAQ.

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

Anchor Tag (aka. Link)

This is an example of a link.

Abbreviation Tag

The abbreviation srsly stands for “seriously”.

Acronym Tag (deprecated in HTML5)

The acronym ftw stands for “for the win”.

Big Tag (deprecated in HTML5)

These tests are a big deal, but this tag is no longer supported in HTML5.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Delete Tag

This tag will let you strikeout text, but this tag is no longer supported in HTML5 (use the <strike> instead).

Emphasize Tag

The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

Keyboard Tag

This scarsly known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strike Tag (deprecated in HTML5)

This tag shows strike-through text

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 

Style 4

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sagittis, sem quis lacinia faucibus, orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor.

Header one

Header two

Header three

Header four

Header five
Header six

This is default paragraph. Morbi sagittis sem quis lacinia faucibus, this is a text link orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Suspendisse consectetur fringilla luctus. Fusce id mi diam, non ornare orci. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor. Suspendisse consectetur fringilla luctus.

Single line blockquote:

Stay hungry. Stay foolish.

Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

Unordered Lists (Nested)

  • List item one
    • List item one
      • List item one
      • List item two
      • List item three
      • List item four
    • List item two
    • List item three
    • List item four
  • List item two
  • List item three
  • List item four

Ordered Lists (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

HTML Tags

These supported tags come from the WordPress.com code FAQ.

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

Anchor Tag (aka. Link)

This is an example of a link.

Abbreviation Tag

The abbreviation srsly stands for “seriously”.

Acronym Tag (deprecated in HTML5)

The acronym ftw stands for “for the win”.

Big Tag (deprecated in HTML5)

These tests are a big deal, but this tag is no longer supported in HTML5.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Delete Tag

This tag will let you strikeout text, but this tag is no longer supported in HTML5 (use the <strike> instead).

Emphasize Tag

The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

Keyboard Tag

This scarsly known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strike Tag (deprecated in HTML5)

This tag shows strike-through text

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 

Style 5

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sagittis, sem quis lacinia faucibus, orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor.

Header one

Header two

Header three

Header four

Header five
Header six

This is default paragraph. Morbi sagittis sem quis lacinia faucibus, this is a text link orci ipsum gravida tortor, vel interdum mi sapien ut justo. Nulla varius consequat magna, id molestie ipsum volutpat quis. Suspendisse consectetur fringilla luctus. Fusce id mi diam, non ornare orci. Pellentesque ipsum erat, facilisis ut venenatis eu, sodales vel dolor. Suspendisse consectetur fringilla luctus.

Single line blockquote:

Stay hungry. Stay foolish.

Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

Unordered Lists (Nested)

  • List item one
    • List item one
      • List item one
      • List item two
      • List item three
      • List item four
    • List item two
    • List item three
    • List item four
  • List item two
  • List item three
  • List item four

Ordered Lists (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

HTML Tags

These supported tags come from the WordPress.com code FAQ.

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

Anchor Tag (aka. Link)

This is an example of a link.

Abbreviation Tag

The abbreviation srsly stands for “seriously”.

Acronym Tag (deprecated in HTML5)

The acronym ftw stands for “for the win”.

Big Tag (deprecated in HTML5)

These tests are a big deal, but this tag is no longer supported in HTML5.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Delete Tag

This tag will let you strikeout text, but this tag is no longer supported in HTML5 (use the <strike> instead).

Emphasize Tag

The emphasize tag should italicize text.

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.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

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Developers, developers, developers… –Steve Ballmer

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Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 

Style 6

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Header one

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Single line blockquote:

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Multi line blockquote with a cite reference:

People think focus means saying yes to the thing you’ve got to focus on. But that’s not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I’m actually as proud of the things we haven’t done as the things I have done. Innovation is saying no to 1,000 things. Steve Jobs – Apple Worldwide Developers’ Conference, 1997

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1 Infinite Loop
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The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

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This scarsly known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
	margin: 0 0 5px;
	font-weight: bold;
	font-size: 38px;
	line-height: 1.2;
	and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strike Tag (deprecated in HTML5)

This tag shows strike-through text

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next talent.

About the role
We seek a talented, experienced sales professional to assume responsibility in selling Condence to potential customers and also to assist our existing and new partners to flourish. As we are in a growth stage, aiming for exponential growth, this position focuses on winning new customers and partners with a standardized offering.

As a successful sales executive, you will take a consultative approach, and you are looked upon by our customers as a trusted advisor.

Responsibilities
Generate new sales via personal sales. In a growth company opening new sales leads and closing the deals is a vital success factor. We expect you to take a self-driven role to execute sales plans on the territory of Finland and potentially in Nordics. Your customers are industrial maintenance professionals and will expect you to have some industry knowledge and technical understanding.

Requirements & personal skills

  • Experience in technical solution sales and preferably in the industrial domain
  • University degree in technical or commercial studies
  • Position requires travelling mainly in Finland and Nordics
  • New sales capabilities, identify, cultivate and close deals
  • Outstanding communication, presentation and negotiation skills (verbal and written) in English and Finnish, Swedish is a plus.
  • Excellent organizational and time management skills
  • Able to maintain a high level of productivity and work effectively in a fast-paced, collaborative environment
  • Self-motivated and disciplined. We are a small team with enormous potential for growth.

We Offer

  • Exciting product and international market
  • Sales pipeline & Lead base to get you quickly up to speed
  • Opportunity to grow with the company
  • Great co-workers
  • Competitive compensation

To Apply

Please send your Cover letter and CV to sales@distence.fi at latest on 27th of August 2020.

For further information about the opening reach out to Janne-Pekka Karttunen +358 400 938 267 or janne-pekka.karttunen@distence.fi

For more information about the company visit: www.distence.fi or product site www.condence.io

 

The May Newsletter is out, here’s what we cover in this issue:

  • The digital journey begins with quality data, Janne-Pekka Karttunen, CEO
  • Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO
  • Partners: Condence fits perfectly in with FLOWPLUS philosophy
  • Case: Veolia – A new Condence installation in Poland by Axoma
  • Interested in learning more about our technology – Book a Demo!

Click to read the entire newsletter here!

by Janne-Pekka Karttunen
CEO, Distence

While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from process controllers, designed to optimize the industrial process; therefore, it might not be optimal for predictive maintenance? – McKinsey published an excellent article on this topic, titled “Predictive maintenance: the wrong solution to the right problem in chemicals“.

The authors list four main reasons to justify the title and explain why poor results are delivered: 1) Too little data or too few data points for the system to learn from. 2) Too short time to react; when a prediction is given two days beforehand the preparation of maintenance, which might require a month or more, it provides simply too little time to react. 3) Too little financial impact as processes are planned to be redundant, and 4) Too small savings as the majority of downtime cost comes from planned maintenance. The study considers the chemical industry. While we at Distence can align with many of the arguments, we also see them applicable in many other manufacturing industries.

The first argument raises the point that many professionals are starting to note in public. Mr Tokohimo from Lingköping university noted that “One big hurdle is that the data needs to be collected and stored in a way that allows AI to be applied.“, while David Bell from Ge Digital shared a similar observation in late 2019, “A big challenge in the industrial analytics world is that most machine learning and AI techniques are data-driven. While the industrial world has a lot of data, the type of data needed for analysis from a reliability and maintenance perspective is hard to access because these systems were not designed for this type of analysis“. This is why we at Distence created an open and data-driven platform Condence for the rotating machinery market.

The second argument might originate from the various reasons for failure and from the fact that many of the failures seen in the process data are already “functional failures” which by default lead to short lead times. If, however, the monitoring system is designed for the purpose, in many cases, mechanical failures can be seen months or even a year in advance. For the system to reach this level of accuracy, it is vital that the driver here is again that quality of data and understanding the physics of the problem.

Argument number three is easy to agree within the sense that when the approach is “run to failure” or the financial impact is only considered given the second argument on short lead time. However, I would like to note that if two days would be two months and the data is used to avoid the problem or perform the necessary repairs without a planned maintenance shutdown, avoiding the extra downtime, the financial impact would be substantially higher.

The fourth argument is also very valid in the context of the study. As the McKinsey researchers note later, it is not only converting the unplanned to planned maintenance but to allocate the CAPEX investments as well as operational activities in the most efficient way.

All of the arguments support the fact that the digital journey begins with quality data and applying that right. For rotating machinery, we believe that there is not enough data to build reliable statistical systems delivering long lead times. However, one study made by one of our customers optimized systems on top of the quality data system detected problems in 80% cases before professional’s had caught it in the real situation.

There is a growing need for high accuracy data, stored and labelled in the way that it can be post-processed by machine learning and AI. This type of data necessitates purpose-built metering and systems. This is how we can deliver true value for predictive maintenance with machine learning.

The April newsletter is out with the following topics:

How is your predictive maintenance team prepared for remote work – Blog by Janne-Pekka Karttunen
Applications: Which applications are critical to your operations – Bearings and Oil, two critical components
Partners: Condence.io expands to Poland – partners with axoma
Case: Taking reliability of production critical gears to the next level
Industries: Interested in learning more about condence.io applications and industries

Read the newsletter!

Many of us have moved to remote working from home office to support the fight against the COVID-19. This is usually possible in white-collar positions as the way of working can be adopted relatively easy to the prevailing situation. Remote collaboration tools are the new norm for many.

For those who work in areas where physical presence is required, the challenge is somewhat different. The COVID-19 has highlighted a new challenge – restricted movement or access of people. Even with the high growth rate of automation in industrial manufacturing, many tasks are still perceived as requiring on-site presence. One being condition monitoring of rotating machinery.

We at Distence developed our first concept of remote monitoring and analysis for wind turbines more than a decade ago. The operational requirements we face today were not so different then – “need to perform precision analysis on relevant data, e.g. vibrations, and to access close to real time raw measurement data anytime, anywhere, around the globe”.

“free knowhow intensive work from time and place…”

The objective was to scale the efficiency of highly skilled and scarce resources, e.g. a CAT IV vibration analyst, and free the knowhow intensive work from time and place. This journey has continued, and today the remote services model is more or less a standard in wind power industry. The top drivers for this development were the demand for reliability and cost efficiency of monitoring and repairs. The adoption of remote monitoring was accelerated as cost-efficient technology became available in the early days of the wind power industry.

With the adoption of a new on-line and virtual model, sharing the learnings from global scale remote condition monitoring can eliminate redundancy of maintenance teams on-site. In the condition monitoring of rotating machines, the old process is often dependent on professionals with knowhow and measurement tools travelling from site to site.

Plenty of tacit knowledge locked inside these teams and on the memory chips of their measurement hardware and laptops. Today, however, data acquisition and analysis can be automatized with solutions built on agile and cost-efficient architectures so that the skilled professionals can focus more on knowhow intensive tasks and less on sitting in service vans. Not to mention, all this with increased safety. Remote monitoring reduces radically the impact of sudden unforeseen factors, like sick leaves, pandemics or sudden shortage of manpower.

“Remote monitoring reduces radically
the impact of sudden unforeseen factors…”

Continuous analysis identifies budding issues, failing components and buys the crew time to act with a plan. Information and analysis can be shared without delay with, for example, an external service provider. With remote and automatized condition monitoring, responsibilities can be shared and evened out.

Up until now, monitoring systems have been built on old existing systems, collecting limited data from e.g. PLC’s or they have been built as dedicated point-to-point systems. Often the systems have been built over time with components from several suppliers, resulting in a large number of interfaces, increasing cost and complexity. New solutions are integrated from sensor to interface on modern SaaS-platforms with secure communication from smart terminals to the cloud. Low cost, extremely accurate and agile, these systems are up and running in hours. Globally.

In this modern model, teams working on preventive maintenance can also operate as a virtual team. Distence has partners that are delivering services for several remote monitoring hubs that are independent yet can share resources as well as responsibilities.

What can traditional industries learn from this? For one, remote monitoring equals global monitoring if made free from time and place. Second, the monitoring process and the efficiency and productivity of knowledge intensive jobs can be taken to radically new levels. And three, in challenging times, like the ones we are now living, unnecessary physical on-site presence or travelling and new operational models are valuable.

What do you think? – should this remote working be a norm in condition management profession also. Please reach out to us to discuss.

We are busy travelling Europe this coming spring, meeting with customers, partners and investors.
Come visit us to discuss the Condence technology and solution.

Please contact Janne-Pekka Karttunen to set up a meeting at any of the following events.
Telephone: +358 40 093 8267 or email Janne-Pekka.Karttunen@distence.fi

10.-13.3. Underhåll, Gothenburg
–  The event is a cross-industry meeting place focusing on production and maintenance. Link

20.-24.4. 2020 Hannover Messe – Pump Plaza
– PUMP PLAZA offers a cross-sector plat- form for pumps, pump systems, individual components and complete solutions. Link

20-24.4. Energy Tech Summit, Vilnius
– Energy Tech Summit is hosting top European energy and mobility investors, entrepreneurs, and government leaders at an exclusive two days event in Vilnius, Lithuania. Link

21-23.4. Plant&Asset Management, Birmingham
– Plant & Asset Management is the UK’s premier event for plant, asset, maintenance and works management engineers and directors. Link

6.-7.5. 2020 Northern Industry Days, Oulu, Finland
– This year we are all about the future – the growth and vitality of Northern Finland’s industry from different perspectives. Link

4.-8.5. IFAT, Münich 
– World’s Leading Trade Fair for Water, Sewage, Waste and Raw Materials Management. Link

10.-12.6. Asset Performance 4.0, Antwerp
– The 4th Industrial revolution, IoT and predictive analytics are bringing unseen possibilities in maintenance, reliability and condition monitoring. Link

 
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