Incipient bearing fault diagnostics for inverter fed induction motor drive using ANFIS

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

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

10 Citations (Scopus)

Abstract

Incipient fault detection of electrical machine is a challenging task and requires intelligent diagnostic approach. Huge research effort is put to automate the fault diagnostic schemes. Among several causes of electrical machine failure the most frequent occurring fault is the mechanical bearing failure. Thus this paper present on-line diagnostic technique for incipient bearing failure in an inverter fed three-phase induction motor drive system. The adaptive neuro-fuzzy inference system is utilized for the diagnostic purpose. 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 publication19th International Conference on Electrical Machines, ICEM 2010
DOIs
Publication statusPublished - 2010
Event19th International Conference on Electrical Machines, ICEM 2010 - Rome, Italy
Duration: 6 Sep 20108 Sep 2010

Other

Other19th International Conference on Electrical Machines, ICEM 2010
CountryItaly
CityRome
Period6/9/108/9/10

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Keywords

  • Bearing fault
  • Incipient fault
  • Induction motor drive
  • Neuro-fuzzy inference

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Abu-Rub, H., Ahmed, S. M., Iqbal, A., Rahimian, M., & Toliyat, H. A. (2010). Incipient bearing fault diagnostics for inverter fed induction motor drive using ANFIS. In 19th International Conference on Electrical Machines, ICEM 2010 [5608171] https://doi.org/10.1109/ICELMACH.2010.5608171