Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST
As a key component of the power system, the good or bad conditions of synchronous machines will directly affect the stable supply of electric energy. The inter-turn short fault of the stator is one of the main dangers to the synchronous machine and is difficult to diagnose. Frequency response analys...
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MDPI AG
2025-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/8/2142 |
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| author | Junsheng Ding Zhongyong Zhao |
| author_facet | Junsheng Ding Zhongyong Zhao |
| author_sort | Junsheng Ding |
| collection | DOAJ |
| description | As a key component of the power system, the good or bad conditions of synchronous machines will directly affect the stable supply of electric energy. The inter-turn short fault of the stator is one of the main dangers to the synchronous machine and is difficult to diagnose. Frequency response analysis has recently been introduced and used for detecting this type of fault; however, the fault degrees and locations cannot be directly recognized by traditional frequency response analysis. Therefore, this study improves the frequency response analysis by combining it with a deep learning model of a multivariate time series transformer. First, the principle of this study is introduced. Second, the frequency response data of short circuit faults are obtained using an artificially simulated experimental platform of a synchronous machine. The deep learning model is then well-trained. Finally, the performance of the proposed method is tested and verified. It concludes that the proposed method has the potential for classifying and diagnosing the inter-turn short circuit of stators in synchronous machines. |
| format | Article |
| id | doaj-art-8a10f098d98c45b7879174617f0677fd |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-8a10f098d98c45b7879174617f0677fd2025-08-20T02:28:20ZengMDPI AGEnergies1996-10732025-04-01188214210.3390/en18082142Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTSTJunsheng Ding0Zhongyong Zhao1College of Engineering and Technology, Southwest University, Chongqing 400700, ChinaCollege of Engineering and Technology, Southwest University, Chongqing 400700, ChinaAs a key component of the power system, the good or bad conditions of synchronous machines will directly affect the stable supply of electric energy. The inter-turn short fault of the stator is one of the main dangers to the synchronous machine and is difficult to diagnose. Frequency response analysis has recently been introduced and used for detecting this type of fault; however, the fault degrees and locations cannot be directly recognized by traditional frequency response analysis. Therefore, this study improves the frequency response analysis by combining it with a deep learning model of a multivariate time series transformer. First, the principle of this study is introduced. Second, the frequency response data of short circuit faults are obtained using an artificially simulated experimental platform of a synchronous machine. The deep learning model is then well-trained. Finally, the performance of the proposed method is tested and verified. It concludes that the proposed method has the potential for classifying and diagnosing the inter-turn short circuit of stators in synchronous machines.https://www.mdpi.com/1996-1073/18/8/2142synchronous machineinter-turn short circuitfrequency responsemultivariate time series transformer |
| spellingShingle | Junsheng Ding Zhongyong Zhao Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST Energies synchronous machine inter-turn short circuit frequency response multivariate time series transformer |
| title | Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST |
| title_full | Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST |
| title_fullStr | Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST |
| title_full_unstemmed | Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST |
| title_short | Diagnosis of Stator Inter-Turn Short Circuit Faults in Synchronous Machines Based on SFRA and MTST |
| title_sort | diagnosis of stator inter turn short circuit faults in synchronous machines based on sfra and mtst |
| topic | synchronous machine inter-turn short circuit frequency response multivariate time series transformer |
| url | https://www.mdpi.com/1996-1073/18/8/2142 |
| work_keys_str_mv | AT junshengding diagnosisofstatorinterturnshortcircuitfaultsinsynchronousmachinesbasedonsfraandmtst AT zhongyongzhao diagnosisofstatorinterturnshortcircuitfaultsinsynchronousmachinesbasedonsfraandmtst |