A New Diagnostic Method for Winding Short-Circuit Fault for SRM Based on Symmetrical Component Analysis

Chinese Journal of Electrical Engineering ›› 2018, Vol. 4 ›› Issue (1): 74-82.

A New Diagnostic Method for Winding Short-Circuit Fault for SRM Based on Symmetrical Component Analysis

Li Xiao^1,2,*, Hexu Sun², Feng Gao³, Shuping Hou¹, Lipeng Li^1,2

1. Tianjin University of Commerce, School of Information Engineering, Tianjin 300134, China;
2. Control Science and Engineering College, Hebei University of Technology, Tianjin 300130, China;
3. Shenhua Tianjin Coal Terminal Co., Ltd., Tianjin 300452, China

Online:2018-03-25 Published:2019-10-31
Contact: * E-mail: xiaoli060755@126.com.
About author:Xiao Li received B.S and M.S degrees in Control Theory and Control Engineering from Hebei University of Technology in 2009 and 2011. She began her PhD study in Hebei University of Technology in 2011 and received her PhD degree Jun. 2014. She received her PhD degree in University of Tennessee in Dec. 2011. She joined Tianjin University of Commerce in July 2014. Xiao Li’s major research area is motion control and fault diagnosis, with more than 20 published/accepted journal and conference papers in this area. Hexu Sun received the B.S. degree in electrical motor drives in 1982 from Liaoning Technical University, China, and the M.S. degree and Ph.D. degree in power electronics both from Northeastern University, China. Currently, he is the president of Hebei University of Science & Technology. His research interests include engineering systems control, new energy generation, intelligent manufacturing and intelligent manufacturing, power electronics and electric drives, with more than 100 published/ accepted journal and conference papers and 20 patents and patent applications in this area. He is the IEEE senior member and the Ministry of Education Teaching Guidance Committee. Gao Feng was born in Tianjin, China. He received B.S. degree and M.S. degree in Control Theory and Control Engineering from the Hebei University of Technology, China, in 2009 and 2012, respectively. He is a research fellow in SHENHUA Tianjin Coal Terminal Co., Ltd, China. His research interests include power electronics and electric drives, and fault diagnosis. Shuping Hou received B.S. degree and Ph.D. degree in Electrical Engineering from the Hebei University of Technology, China, in 1998 and 2010, respectively. She joined Tianjin University of Commerce in July 1999. Prof. Hou has been involved in power electronics and electric drives for more than 15 years. Lipeng Li received B.S. degree and M.S. degree in automation and control theory and control engineering from the Hebei University of Technology, China, in 2011 and 2015, respectively. He is currently a research fellow in the Tianjin University of Commerce, China. His research interests are electrical motor drives, and robot control.
Supported by:
Supported by the Natural Science Foundation of Tianjin of China (No.16JCQNJC04200), and the National Natural Science Foundation for nurturing of Tianjin University of Commerce (No.160123).

Abstract

Abstract: Winding short-circuit is one of the more common faults in switched reluctance motors (SRM). This paper takes an in-depth look at winding short-circuit. The characteristic of non-sinusoidal intermittent single phase current, fundamental components are extracted to reconstruct four phase symmetrical currents based on spectrum analysis of phase currents. The method of symmetrical component is used to calculate positive and negative sequence components of reconstructed currents, where then the ratio between positive and negative sequence component is seen as a fault feature and the diagnostic criterion is proposed. The simulation and experimental results are presented to confirm the implementation of the proposed method.

Key words: Symmetrical component, spectral analysis, winding short-circuit fault, switched reluctance motor

Li Xiao, Hexu Sun, Feng Gao, Shuping Hou, Lipeng Li. A New Diagnostic Method for Winding Short-Circuit Fault for SRM Based on Symmetrical Component Analysis[J]. Chinese Journal of Electrical Engineering, 2018, 4(1): 74-82.

References

[1] Bruno Lequesne, Suresh Gopalakrishnan,Avoki M.Omekanda, “Winding short circuits in the switched reluctance drive, ” IEEE Transactions on Industry Applications, vol. 41, no.5, pp. 1178-1184, 2005.
[2] Suresh Gopalakrishnan, Avoki M.Omekanda, and Bruno Lequesne, “Classification and remediation of electrical Faults in the switched reluctance drive,”IEEE Transactions on Industry Applications, vol. 42, no. 2, pp. 479-486, 2006.
[3] M. Ruba, I. Bentia,L. Szabó, “Modular fault tolerant switched reluctance machine- design and dynamic simulations,”International Conference on Optimization of Electrical & Electronic Equipment, pp.441-446, 2010.
[4] Xinguo Hou, Zhengguo Wu, Li Xia,Leping Bu, “Stator winding fault diagnosis method of induction motor based on coherence analysis,” Proceedings of the CSEE, vol. 25, no. 4, pp. 83-86, 2005.
[5] Rareş Terec1, and Ioana Benţial, “Effects of winding faults on the switched reluctance machine's working performances,” The 3rd IEEE International Symposium on Logistics and Industrial Informatics, Budapest, August 25-27, 2013.
[6] T. J. E.Miller, “Faults and unbalance forces in the switched reluctance machine,” IEEE Transaction on Industry Applications, vol. 31, no. 2, pp. 319-328, 2013.
[7] A. A. Arkadan,B. W. Kielgas, “Switched reluctance motor dynamic performance prediction under internal and external fault condition,” IEEE Transactions on Energy Conversion, vol. 9, no. 1, pp. 45-50, 1994.
[8] A. A. Arkadan,B. W. Kielgas, “The coupled problem in switched reluctance motor drive systems during fault conditions,” IEEE Transactions on Magnetics, vol.30, no.5, pp. 3256-3259, 1994.
[9] L. A. Belfore,A. A. Arkadan, “Modeling faulted switched reluctance motors using evolutionary neural networks,” IEEE Transactions on Industrial Electronics, vol. 44, no. 2, pp. 226-233, 2012.
[10] A. A. Arkadan,L. A. Belfore, “Neurogenetic characterization of fault tolerant switched reluctance motor drives,” IEEE Transactions on Magnetics, vol. 34, no, 5, pp. 3612-3615, 1998.
[11] A. A. Arkadan, M. S. P.Du, and M. Bouji, “Performance prediction of SRM drive system under normal and fault operating conditions using GA-based Ann method,” IEEE Transactions on Magnetics, vol. 36, no. 4, pp. 1945-1949, 2012.
[12] L. A.Belfore and A. A. Arkadan, “A methodology for characterizing fault tolerant switched reluctance motors using neurogenetically derived models,” IEEE Transactions on Energy Conversion, vol. 17, no. 3, pp. 380-384, 2013.
[13] Torkaman, Hossein, “Intern-turn short-circuit fault detection in switched reluctance motor utilizing MCPT test,” International Journal of Applied Electromagnetics and Mechanics, vol. 46, no. 3, pp. 619-628, 2014.
[14] Miremadi, A. Torkaman,H. Siadatan, “A maximum current point tracking for stator winding short circuits diagnosis in switched reluctance motor,”The 4th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), pp. 83-87, 2013.
[15] Yang Yugang, Li Linhong, Fu Cai,Hu Peng, “Research on transient behavior of SRM as its phasewindings are broken,”The 2nd IEEE International Symposium on Power Eletronics for Distributed Generation Systems(PEDG), pp. 325-328, 2010.
[16] Wang Rui, Zhao Jin, Deng Xin,Liu Yang, “Analysis and experiment for asynchronous motor in default of one stator phase, ” ELECTRIC DRIVE, vol. 40, no. 9, pp. 13-15, 2010.
[17] Choi, Jun-Hyuk, Gu, Bon-Gwan, Won Chung-Yuen, “Modeling and analysis of PMSMs under inter turn short faults,” Journal of Electrical Engineering & Technology, vol. 8, no. 5, pp. 1243-1250, 2013.
[18] Hu Y. Gan, C. Cao, W. Li, W. Finney,and S. J. “Central-tapped node linked modular fault-tolerance topology for SRM applications, ”IEEE Transactions on Power Electronics, vol. 31, no. 2, pp. 1541-1554, 2016.
[19] B. M. Ebrahimi,J. Faiz, “Feature extraction for shortcircuit fault detection in permanent-magnet synchronous motors using stator-current monitoring, ” IEEE Trans. Power Electronics, vol. 25, no. 10, pp. 2673-2682, 2015.
[20] B. Vaseghi, B. Nahid-Mobarakh, N. Takorabet,F. Meibody Tabar, “Inductance identification and study of PM motor with winding turn short circuit fault, ” IEEE Trans. Magnetics, vol. 47, no. 5, pp. 978-981, 2014.