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

    5 Citations (Scopus)


    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
    ISBN (Electronic)978-1-5090-5948-5, 978-1-5090-5949-2
    ISBN (Print)978-1-5090-5950-8
    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


    Conference19th IEEE International Conference on Industrial Technology, ICIT 2018


    The research has been conducted as a part of MANTIS Cyber Physical System based Proactive Collaborative Maintenance project. The project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 662189. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and the national funding organisation Finnish Funding Agency for Innovation Tekes.


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


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