Predicting the Remaining Useful Life of Rolling Element Bearings

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
301 Downloads (Pure)

Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)
ForlagIEEE
Publikationsdato2018
Sider2035-2040
Artikelnummer8352501
ISBN (Trykt)978-1-5090-5948-5, 978-1-5090-5950-8
ISBN (Elektronisk)978-1-5090-5949-2
DOI
StatusUdgivet - 2018
Begivenhed19th IEEE International Conference on Industrial Technology (ICIT 2018) - Lyon, Frankrig
Varighed: 20 feb. 201822 feb. 2018

Konference

Konference19th IEEE International Conference on Industrial Technology (ICIT 2018)
Land/OmrådeFrankrig
ByLyon
Periode20/02/201822/02/2018

Emneord

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

Fingeraftryk

Dyk ned i forskningsemnerne om 'Predicting the Remaining Useful Life of Rolling Element Bearings'. Sammen danner de et unikt fingeraftryk.

Citationsformater