Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault
Reliability is pivotal significance for switched reluctance machine drives (SRD) applied to safety essential transportation and industrial fields. An inter-turn shorted-circuit fault (ISCF) could incite the machine to operate in unbalanced status, resulting in the noise increases. In the event such...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/12/1/134 |
| _version_ | 1817989648096428032 |
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| author | Li Xiao Hexu Sun Liyi Zhang Feng Niu Lu Yu Xuhe Ren |
| author_facet | Li Xiao Hexu Sun Liyi Zhang Feng Niu Lu Yu Xuhe Ren |
| author_sort | Li Xiao |
| collection | DOAJ |
| description | Reliability is pivotal significance for switched reluctance machine drives (SRD) applied to safety essential transportation and industrial fields. An inter-turn shorted-circuit fault (ISCF) could incite the machine to operate in unbalanced status, resulting in the noise increases. In the event such a fault remains untreated, the fault will further destroy the rest of the normal phases, even leading to a tragic incident for the entire drive application. To improve the reliability of SRD, an efficient on-line fault diagnosis method for ISCF should be proposed. This paper is focused on employing the strong track filter (STF) to achieve real-time phase resistance differences between before and after ISCF, which are used as features to diagnose the fault occurrence and the fault phase. Furthermore, a classification namely as linear discriminant analysis (LDA) is selected to estimate fault severity. Finally, simulation and experiments correspond to various running statuses are executed and their results can verify that the diagnosis method has accuracy and robustness. |
| first_indexed | 2024-04-14T00:49:09Z |
| format | Article |
| id | doaj.art-b2d824e4c04b446fab363d3aef567227 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T00:49:09Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b2d824e4c04b446fab363d3aef5672272022-12-22T02:21:51ZengMDPI AGEnergies1996-10732019-01-0112113410.3390/en12010134en12010134Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit FaultLi Xiao0Hexu Sun1Liyi Zhang2Feng Niu3Lu Yu4Xuhe Ren5College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaCollege of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, ChinaCollege of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaCollege of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaCollege of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaReliability is pivotal significance for switched reluctance machine drives (SRD) applied to safety essential transportation and industrial fields. An inter-turn shorted-circuit fault (ISCF) could incite the machine to operate in unbalanced status, resulting in the noise increases. In the event such a fault remains untreated, the fault will further destroy the rest of the normal phases, even leading to a tragic incident for the entire drive application. To improve the reliability of SRD, an efficient on-line fault diagnosis method for ISCF should be proposed. This paper is focused on employing the strong track filter (STF) to achieve real-time phase resistance differences between before and after ISCF, which are used as features to diagnose the fault occurrence and the fault phase. Furthermore, a classification namely as linear discriminant analysis (LDA) is selected to estimate fault severity. Finally, simulation and experiments correspond to various running statuses are executed and their results can verify that the diagnosis method has accuracy and robustness.http://www.mdpi.com/1996-1073/12/1/134inter-turn shorted-circuit fault (ISCF)strong track filter (STF)linear discriminant analysis (LDA)switched reluctance machine (SRM) |
| spellingShingle | Li Xiao Hexu Sun Liyi Zhang Feng Niu Lu Yu Xuhe Ren Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault Energies inter-turn shorted-circuit fault (ISCF) strong track filter (STF) linear discriminant analysis (LDA) switched reluctance machine (SRM) |
| title | Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault |
| title_full | Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault |
| title_fullStr | Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault |
| title_full_unstemmed | Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault |
| title_short | Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault |
| title_sort | applications of a strong track filter and lda for on line identification of a switched reluctance machine stator inter turn shorted circuit fault |
| topic | inter-turn shorted-circuit fault (ISCF) strong track filter (STF) linear discriminant analysis (LDA) switched reluctance machine (SRM) |
| url | http://www.mdpi.com/1996-1073/12/1/134 |
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