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Sparse Representation and SVM Diagnosis Method for Inter-Turn Short-Circuit Fault in PMSM

1,2, 1,2,*, 1,2,3 and 4
1
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
3
Unit 69031 of the People’s Liberation Army of China, Urumqi 830000, China
4
Chongqing Changan Automobile Co Ltd., Chongqing 400023, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(2), 224; https://doi.org/10.3390/app9020224
Received: 15 December 2018 / Revised: 3 January 2019 / Accepted: 3 January 2019 / Published: 9 January 2019
(This article belongs to the Special Issue Fault Detection and Diagnosis in Mechatronics Systems)
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Abstract

Permanent magnet synchronous motors (PMSM) has the advantages of simple structure, small size, high efficiency, and high power factor, and a key dynamic source and is widely used in industry, equipment and electric vehicle. Aiming at its inter-turn short-circuit fault, this paper proposes a fault diagnosis method based on sparse representation and support vector machine (SVM). Firstly, the sparse representation is used to extract the first and second largest sparse coefficients of both current signal and vibration signals, and then they are composed into four-dimensional feature vectors. Secondly, the feature vectors are input into the support vector machine for fault diagnosis, which is suitable for small sample. Experiments on a permanent magnet synchronous motor with artificially set inter-turn short-circuit fault and a normal one showed that the method is feasible and accurate. View Full-Text
Keywords: fault diagnosis; inter-turn short circuit; sparse representation; support vector machine; PMSM fault diagnosis; inter-turn short circuit; sparse representation; support vector machine; PMSM
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Liang, S.; Chen, Y.; Liang, H.; Li, X. Sparse Representation and SVM Diagnosis Method for Inter-Turn Short-Circuit Fault in PMSM. Appl. Sci. 2019, 9, 224.

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