Predicting the Remaining Useful Life of Rolling Element Bearings

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)
304 Downloads (Pure)

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 model 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
Publication date2018
Pages2035-2040
Article number8352501
ISBN (Print)978-1-5090-5948-5, 978-1-5090-5950-8
ISBN (Electronic)978-1-5090-5949-2
DOIs
Publication statusPublished - 2018
Event19th IEEE International Conference on Industrial Technology (ICIT 2018) - Lyon, France
Duration: 20 Feb 201822 Feb 2018

Conference

Conference19th IEEE International Conference on Industrial Technology (ICIT 2018)
Country/TerritoryFrance
CityLyon
Period20/02/201822/02/2018

Keywords

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

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