Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA)

V. Fernao Pires, Daniel Foito, J. F. Martins, A. J. Pires

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

13 Citations (Scopus)

Abstract

In this paper the short-circuit fault inter-turn on the stator of an induction motor is analysed by an online diagnostic method. For the diagnostic method it is proposed the motor square current signature analysis (MSCSA). This method uses the results of spectral analysis of the instantaneous square stator current. The effects of stator square current spectrum are described and the related frequencies determined. This method is similar to the instantaneous power signature analysis, however has the advantage of just require one current sensor. Several simulation and experimental results are presented in order to illustrate the characteristics of the proposed method.

Original languageEnglish
Title of host publication2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings
PublisherIEEE Computer Society
Pages507-512
Number of pages6
Volume2015-September
ISBN (Electronic)9781479999781
DOIs
Publication statusPublished - 14 Sep 2015
Event5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Riga, Latvia
Duration: 11 May 201513 May 2015

Conference

Conference5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015
CountryLatvia
CityRiga
Period11/05/1513/05/15

Keywords

  • fault diagnosis
  • Induction Motor
  • motor square current signature analysis
  • stator winding fault

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    Pires, V. F., Foito, D., Martins, J. F., & Pires, A. J. (2015). Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA). In 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings (Vol. 2015-September, pp. 507-512). [7266369] IEEE Computer Society. https://doi.org/10.1109/PowerEng.2015.7266369