Tribology as basis of machinery condition diagnostics and prognostics

Kenneth Holmberg (Corresponding Author), Aino Helle

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Abstract

A prognosis of the machinery condition is an important potential tool to avoid unpredictable and expensive disturbances, failure and shut down in industrial production and transportation. A diagnosis of machinery condition can be carried out based on online condition monitoring. The prediction of future performance needs, in addition to knowledge of the present state, also a good understanding of trends and physical laws influencing the progress of the deterioration processes in components. Tribology offers an understanding of the wear and friction related phenomena in machinery and their mechanisms. After a short transient period of running-in wear, the wear process is linear for a long period at steady state running but it is close to exponential at catastrophic wear. Monitoring based regression signal analysis offers a new possibility to predict wear progress and wear failure. The VTT Diagnostic Circle is a method for integrated tribological and vibration analysis of machinery condition.
Original languageEnglish
Pages (from-to)255-269
Number of pages15
JournalInternational Journal of Performability Engineering
Volume4
Issue number3
Publication statusPublished - 2008
MoE publication typeA1 Journal article-refereed

Fingerprint

Tribology
Machinery
Wear of materials
Signal analysis
Condition monitoring
Vibration analysis
Deterioration
Friction
Monitoring

Keywords

  • tribology
  • condition monitoring
  • diagnostics
  • prognostics

Cite this

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Tribology as basis of machinery condition diagnostics and prognostics. / Holmberg, Kenneth (Corresponding Author); Helle, Aino.

In: International Journal of Performability Engineering, Vol. 4, No. 3, 2008, p. 255-269.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Tribology as basis of machinery condition diagnostics and prognostics

AU - Holmberg, Kenneth

AU - Helle, Aino

PY - 2008

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N2 - A prognosis of the machinery condition is an important potential tool to avoid unpredictable and expensive disturbances, failure and shut down in industrial production and transportation. A diagnosis of machinery condition can be carried out based on online condition monitoring. The prediction of future performance needs, in addition to knowledge of the present state, also a good understanding of trends and physical laws influencing the progress of the deterioration processes in components. Tribology offers an understanding of the wear and friction related phenomena in machinery and their mechanisms. After a short transient period of running-in wear, the wear process is linear for a long period at steady state running but it is close to exponential at catastrophic wear. Monitoring based regression signal analysis offers a new possibility to predict wear progress and wear failure. The VTT Diagnostic Circle is a method for integrated tribological and vibration analysis of machinery condition.

AB - A prognosis of the machinery condition is an important potential tool to avoid unpredictable and expensive disturbances, failure and shut down in industrial production and transportation. A diagnosis of machinery condition can be carried out based on online condition monitoring. The prediction of future performance needs, in addition to knowledge of the present state, also a good understanding of trends and physical laws influencing the progress of the deterioration processes in components. Tribology offers an understanding of the wear and friction related phenomena in machinery and their mechanisms. After a short transient period of running-in wear, the wear process is linear for a long period at steady state running but it is close to exponential at catastrophic wear. Monitoring based regression signal analysis offers a new possibility to predict wear progress and wear failure. The VTT Diagnostic Circle is a method for integrated tribological and vibration analysis of machinery condition.

KW - tribology

KW - condition monitoring

KW - diagnostics

KW - prognostics

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JO - International Journal of Performability Engineering

JF - International Journal of Performability Engineering

SN - 0973-1318

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