Predicting the Remaining Useful Life of Rolling Element Bearings

Erkki Jantunen, Jan Otto Hooghoudt, Yi Yang, Mark McKay

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

    3 Citations (Scopus)

    Abstract

    Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on the understanding of the wear of bearings i.e. wear modelling is briefly discussed. A simulation model has been built to produce vibration data of the monitoring of rolling bearings taking into account typical vibration excitations in addition to the wear. The simulation model is used to develop signal analysis methods and means of prognosis of the remaining useful life. One complete example of the above described process is shown and discussed in the paper.

    Original languageEnglish
    Title of host publicationProceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages2035-2040
    Number of pages6
    ISBN (Electronic)978-1-5090-5948-5, 978-1-5090-5949-2
    ISBN (Print)978-1-5090-5950-8
    DOIs
    Publication statusPublished - 27 Apr 2018
    MoE publication typeA4 Article in a conference publication
    Event19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France
    Duration: 19 Feb 201822 Feb 2018

    Conference

    Conference19th IEEE International Conference on Industrial Technology, ICIT 2018
    CountryFrance
    CityLyon
    Period19/02/1822/02/18

    Keywords

    • Condition monitoring
    • Diagnosis
    • Prognosis
    • Remaining useful life
    • Rolling element bearing
    • Signal analysis
    • Vibration measurements

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