Tribology as basis for machinery condition diagnostics and prognostics: (Keynote paper)

Kenneth Holmberg, Aino Helle

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    A prognosis of 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
    Title of host publicationCondition Monitoring and Diagnostic Engineering Management
    Subtitle of host publicationCOMADEM 2006
    Place of PublicationLuleå, Sweden
    PublisherLuleå University of Technology
    Pages265-277
    ISBN (Print)978-91-631-8806-0
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication
    Event19th International Congress Condition Monitoring and Diagnostic Engineering Management, COMADEM 2006 - Luleå, Sweden
    Duration: 12 Jun 200615 Jun 2006

    Conference

    Conference19th International Congress Condition Monitoring and Diagnostic Engineering Management, COMADEM 2006
    CountrySweden
    CityLuleå
    Period12/06/0615/06/06

    Keywords

    • Tribology
    • condition monitoring
    • diagnostics
    • prognostics

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  • Cite this

    Holmberg, K., & Helle, A. (2006). Tribology as basis for machinery condition diagnostics and prognostics: (Keynote paper). In Condition Monitoring and Diagnostic Engineering Management: COMADEM 2006 (pp. 265-277). Luleå University of Technology.