Rotor Speed-Based Bearing Fault Diagnosis (RSB-BFD) Under Variable Speed and Constant Load

Moussa Hamadache, Dongik Lee, Kalyana C. Veluvolu

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)


This paper addresses the application of rotor speed signal for the detection and diagnosis of ball bearing faults in rotating electrical machines. Many existing techniques for bearing fault diagnosis (BFD) rely on vibration signals or current signals. However, vibration- or current-based BFD techniques suffer from various challenges that must be addressed. As an alternative, this paper takes the initial step of investigating the efficiency of rotor speed monitoring for BFD. The bearing failure modes are reviewed and their effects on the rotor speed signal are described. Based on this analysis, a novel BFD technique, the rotor speed-based BFD (RSB-BFD) method under variable speed and constant load conditions, is proposed to provide a benefit in terms of cost and simplicity. The proposed RSB-BFD method exploits the absolute value-based principal component analysis (PCA), which improves the performance of classical PCA by using the absolute value of weights and the sum square error. The performance and effectiveness of the RSB-BFD method is demonstrated using an experimental setup with a set of realistic bearing faults in the outer race, inner race, and balls.
Original languageEnglish
Pages (from-to)6486 - 6495
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Issue number10
Early online date25 Mar 2015
Publication statusPublished - Oct 2015


  • Bearing fault diagnosis (BFD)
  • Principal component analysis (PCA)
  • Rotor speed
  • Sum square error
  • Variable speed


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