Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM
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 di...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/9/2/224 |
| _version_ | 1818153685855764480 |
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| author | Siyuan Liang Yong Chen Hong Liang Xu Li |
| author_facet | Siyuan Liang Yong Chen Hong Liang Xu Li |
| author_sort | Siyuan Liang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T14:14:33Z |
| format | Article |
| id | doaj.art-93d6d9d28469431e8adbf93015c4b7ea |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-11T14:14:33Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-93d6d9d28469431e8adbf93015c4b7ea2022-12-22T01:03:13ZengMDPI AGApplied Sciences2076-34172019-01-019222410.3390/app9020224app9020224Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSMSiyuan Liang0Yong Chen1Hong Liang2Xu Li3School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaChongqing Changan Automobile Co Ltd., Chongqing 400023, ChinaPermanent 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.http://www.mdpi.com/2076-3417/9/2/224fault diagnosisinter-turn short circuitsparse representationsupport vector machinePMSM |
| spellingShingle | Siyuan Liang Yong Chen Hong Liang Xu Li Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM Applied Sciences fault diagnosis inter-turn short circuit sparse representation support vector machine PMSM |
| title | Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM |
| title_full | Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM |
| title_fullStr | Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM |
| title_full_unstemmed | Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM |
| title_short | Sparse Representation and SVM Diagnosis Method Inter-Turn Short-Circuit Fault in PMSM |
| title_sort | sparse representation and svm diagnosis method inter turn short circuit fault in pmsm |
| topic | fault diagnosis inter-turn short circuit sparse representation support vector machine PMSM |
| url | http://www.mdpi.com/2076-3417/9/2/224 |
| work_keys_str_mv | AT siyuanliang sparserepresentationandsvmdiagnosismethodinterturnshortcircuitfaultinpmsm AT yongchen sparserepresentationandsvmdiagnosismethodinterturnshortcircuitfaultinpmsm AT hongliang sparserepresentationandsvmdiagnosismethodinterturnshortcircuitfaultinpmsm AT xuli sparserepresentationandsvmdiagnosismethodinterturnshortcircuitfaultinpmsm |