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)
PublisherInstitute of Electrical and Electronic Engineers IEEE
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). Institute of Electrical and Electronic Engineers IEEE. 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). Institute of Electrical and Electronic Engineers IEEE, 2018. pp. 2035-2040
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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). Institute of Electrical and Electronic Engineers IEEE, 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). Institute of Electrical and Electronic Engineers IEEE, 2018. p. 2035-2040.

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

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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). Institute of Electrical and Electronic Engineers IEEE. 2018. p. 2035-2040 https://doi.org/10.1109/ICIT.2018.8352501