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Condition based maintenance

Competence

Condition monitoring and prognosis of future development of the condition of critical machinery components such as bearings, gears, electrical machines as well as modern signal analysis technologies based on physical phenomena create the input for Condition Based Maintenance (CBM). 

New sensor technologies together with embedded measurement systems based on energy harvesting as well as wireless measuring technologies provide the foundation for wider use of sophisticated methods supporting the economic, efficient and sustainable use of machines.

Research topics

  • New sensor technologies
  • Embedded measurement systems
  • Data acquisition and signal analysis
  • Condition monitoring and diagnosis
  • Prognostics
  • Automatic decision making
  • e-Maintenance, introduction and implementation of (CBM) to plant floor and mobile machinery

Challenges

Globalisation and new networked production chains, together with new production facilities located in new market areas, have created a fresh set of challenges. Foremost among them is how to guarantee the reliability and availability of these products throughout their entire life cycle in an economical way.

New technological solutions have to be integrated in these new products. The amount of information to be handled is huge and increasing all the time. Due to heavier competition, the time period available for the R&D process is getting shorter and shorter.

Solutions

We provide the following solutions for the manufacturing and process industries

  • Economical sensors with the capability of energy harvesting
  • Automatic diagnostic and prognostics solutions for machines
  • Integration solutions needed to support CBM

Benefits

With our solutions, new business opportunities that are not so sensitive to economic turbulences can be created. The life cycle efficiency and economy of products are improved, leading towards more sustainable development.


Additional information

Mikko Lehtonen
Senior Research Scientist
+358 20 722 4527

Erkki Jantunen
Senior Research Scientist
+358 20 722 5319

Additional information

Mikko Lehtonen
Senior Research Scientist
+358 20 722 4527

Erkki Jantunen
Senior Research Scientist
+358 20 722 5319

See also

    Publications