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

    1 Citation (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

    Fingerprint

    Bearings (structural)
    Wear of materials
    Signal analysis
    Condition monitoring
    Wheels
    Monitoring
    Industry

    Keywords

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

    Cite this

    Jantunen, E., Hooghoudt, J. O., Yang, Y., & McKay, M. (2018). Predicting the Remaining Useful Life of Rolling Element Bearings. In Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT) (pp. 2035-2040). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICIT.2018.8352501
    Jantunen, Erkki ; Hooghoudt, Jan Otto ; Yang, Yi ; McKay, Mark. / Predicting the Remaining Useful Life of Rolling Element Bearings. Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers , 2018. pp. 2035-2040
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    title = "Predicting the Remaining Useful Life of Rolling Element Bearings",
    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.",
    keywords = "Condition monitoring, Diagnosis, Prognosis, Remaining useful life, Rolling element bearing, Signal analysis, Vibration measurements",
    author = "Erkki Jantunen and Hooghoudt, {Jan Otto} and Yi Yang and Mark McKay",
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    Jantunen, E, Hooghoudt, JO, Yang, Y & McKay, M 2018, Predicting the Remaining Useful Life of Rolling Element Bearings. in Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers , pp. 2035-2040, 19th IEEE International Conference on Industrial Technology, ICIT 2018, Lyon, France, 19/02/18. https://doi.org/10.1109/ICIT.2018.8352501

    Predicting the Remaining Useful Life of Rolling Element Bearings. / Jantunen, Erkki; Hooghoudt, Jan Otto; Yang, Yi; McKay, Mark.

    Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers , 2018. p. 2035-2040.

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

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    N2 - 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.

    AB - 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.

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    Jantunen E, Hooghoudt JO, Yang Y, McKay M. Predicting the Remaining Useful Life of Rolling Element Bearings. In Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers . 2018. p. 2035-2040 https://doi.org/10.1109/ICIT.2018.8352501