Discrimination of stator winding turn fault and unbalanced supply voltage in permanent magnet synchronous motor using ANN

Shady Khalil, Haitham Abu-Rub, M. S. Saad, E. M. Aboul-Zahab, Atif Iqbal

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

8 Citations (Scopus)

Abstract

Permanent magnet synchronous motor (PMSM) is currently the most attractive application electric machine for several industrial applications. It has obtained widespread application in motor drives in recent time. However, different types of faults are unavoidable in such motors. This paper focuses on stator winding faults diagnosis. This paper proposes the ratio of third harmonic to fundamental FFT magnitude component of the three-phase stator line current and supply voltage as a parameter for detecting stator winding turn faults under different load conditions and using artificial neural network (ANN). Discrimination among unbalancing of supply voltage conditions and stator turn short circuit poses a challenge that is addressed in this paper. The presented approach yields a high degree of accuracy in fault detection and diagnosis between the effects of stator winding turn fault and those due to unbalanced supply voltages using artificial neural network. All simulations in this paper are conducted using finite element analysis software.

Original languageEnglish
Title of host publicationProceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013
Pages858-863
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013 - Istanbul, Turkey
Duration: 13 May 201317 May 2013

Other

Other2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013
CountryTurkey
CityIstanbul
Period13/5/1317/5/13

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Keywords

  • ANN
  • Fault detection
  • PMSM
  • stator winding turn fault
  • unbalanced supply voltage

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment

Cite this

Khalil, S., Abu-Rub, H., Saad, M. S., Aboul-Zahab, E. M., & Iqbal, A. (2013). Discrimination of stator winding turn fault and unbalanced supply voltage in permanent magnet synchronous motor using ANN. In Proceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013 (pp. 858-863). [6635722] https://doi.org/10.1109/PowerEng.2013.6635722