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

doi:10.1109/PowerEng.2015.7266369

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 proceeding › Conference contribution › peer-review

17 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 language	English
Title of host publication	2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	507-512
Number of pages	6
Volume	2015-September
ISBN (Electronic)	9781479999781
DOIs	https://doi.org/10.1109/PowerEng.2015.7266369
Publication status	Published - 14 Sep 2015
Event	5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Riga, Latvia Duration: 11 May 2015 → 13 May 2015

Conference

Conference	5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015
Country	Latvia
City	Riga
Period	11/05/15 → 13/05/15

Keywords

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

Access to Document

10.1109/PowerEng.2015.7266369

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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

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

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.",

keywords = "fault diagnosis, Induction Motor, motor square current signature analysis, stator winding fault",

author = "Pires, {V. Fernao} and Daniel Foito and Martins, {J. F.} and Pires, {A. J.}",

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booktitle = "2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings",

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Pires, VF, Foito, D, Martins, JF & Pires, AJ 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, 7266369, IEEE Computer Society, pp. 507-512, 5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015, Riga, Latvia, 11/05/15. https://doi.org/10.1109/PowerEng.2015.7266369

Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA). / Pires, V. Fernao; Foito, Daniel; Martins, J. F.; Pires, A. J.

2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings. Vol. 2015-September IEEE Computer Society, 2015. p. 507-512 7266369.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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Pires VF, Foito D, Martins JF, Pires AJ. 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. IEEE Computer Society. 2015. p. 507-512. 7266369 https://doi.org/10.1109/PowerEng.2015.7266369