Incipient bearing fault detection for three-phase brushless DC motor drive using ANFIS

Haitham Abu-Rub, Sk Moin Ahmed, Atif Iqbal, Hamid A. Toliyat, Mina M. Rahimian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Incipient fault detection of electrical machine is a major task and requires intelligent diagnostic approach. Extensive research has been performed in the field of automation of fault diagnostic schemes. Among several causes of electrical machine failure the most frequent occurring fault is the mechanical bearing failure. Thus, this paper presents diagnostic technique for incipient bearing failure in a three-phase Brushless DC (BLDC) motor drive system. The Adaptive Neuro-Fuzzy Inference System is utilized for the diagnostic purpose. The proposed approach offers accurate estimate of the bearing conditions with minimal effort. The proposed technique is verified using simulation approach. The simulation is done using Matlab/Simulink and the complete model is presented in the paper.

Original languageEnglish
Title of host publicationSDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Pages620-625
Number of pages6
DOIs
Publication statusPublished - 2011
Event8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011 - Bologna, Italy
Duration: 5 Sep 20118 Sep 2011

Other

Other8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011
CountryItaly
CityBologna
Period5/9/118/9/11

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Keywords

  • bearing fault
  • BLDC drive
  • Incipient fault
  • Neuro-Fuzzy Inference

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Abu-Rub, H., Moin Ahmed, S., Iqbal, A., Toliyat, H. A., & Rahimian, M. M. (2011). Incipient bearing fault detection for three-phase brushless DC motor drive using ANFIS. In SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (pp. 620-625). [6063688] https://doi.org/10.1109/DEMPED.2011.6063688