Air gap eccentric analysis and fault detection of traction motor
Abstract To solve the problem of air gap eccentric fault of traction motor, the fault characteristic frequency is close to the fundamental frequency, and the decomposed frequency affects each other, which is easy to cause spectrum aliasing. A reconstruction of variational mode decomposition method i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-06-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-023-00234-4 |
| _version_ | 1797795630558478336 |
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| author | Jintian Yin Zhilong He Li Liu Zhihua Peng |
| author_facet | Jintian Yin Zhilong He Li Liu Zhihua Peng |
| author_sort | Jintian Yin |
| collection | DOAJ |
| description | Abstract To solve the problem of air gap eccentric fault of traction motor, the fault characteristic frequency is close to the fundamental frequency, and the decomposed frequency affects each other, which is easy to cause spectrum aliasing. A reconstruction of variational mode decomposition method is proposed (reconstructed variational mode decomposition, RVMD); first of all, to construct and solve the variational stator current signal problem, to find the best decomposition number, and to obtain multiple modal functions, and to realize the effective separation and frequency profile of each component of the signal. Then, the decomposed modal function components with different frequencies and different amplitude can keep the decomposed positions unchanged and be reconstructed to form a new frequency spectrum. Experimental results show that the proposed RVMD method can detect weak faults timely and effectively, and has good application value. |
| first_indexed | 2024-03-13T03:20:54Z |
| format | Article |
| id | doaj.art-2a2383ba3b844e50ba7a5c0ea8b3ba93 |
| institution | Directory Open Access Journal |
| issn | 1110-1903 2536-9512 |
| language | English |
| last_indexed | 2024-03-13T03:20:54Z |
| publishDate | 2023-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Engineering and Applied Science |
| spelling | doaj.art-2a2383ba3b844e50ba7a5c0ea8b3ba932023-06-25T11:18:38ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122023-06-0170111310.1186/s44147-023-00234-4Air gap eccentric analysis and fault detection of traction motorJintian Yin0Zhilong He1Li Liu2Zhihua Peng3School of Electrical Engineering, Shaoyang UniversitySchool of Electrical Engineering, Shaoyang UniversitySchool of Electrical Engineering, Shaoyang UniversitySchool of Electrical Engineering, Shaoyang UniversityAbstract To solve the problem of air gap eccentric fault of traction motor, the fault characteristic frequency is close to the fundamental frequency, and the decomposed frequency affects each other, which is easy to cause spectrum aliasing. A reconstruction of variational mode decomposition method is proposed (reconstructed variational mode decomposition, RVMD); first of all, to construct and solve the variational stator current signal problem, to find the best decomposition number, and to obtain multiple modal functions, and to realize the effective separation and frequency profile of each component of the signal. Then, the decomposed modal function components with different frequencies and different amplitude can keep the decomposed positions unchanged and be reconstructed to form a new frequency spectrum. Experimental results show that the proposed RVMD method can detect weak faults timely and effectively, and has good application value.https://doi.org/10.1186/s44147-023-00234-4Fault detectionRVMDTraction motorAir gap eccentric |
| spellingShingle | Jintian Yin Zhilong He Li Liu Zhihua Peng Air gap eccentric analysis and fault detection of traction motor Journal of Engineering and Applied Science Fault detection RVMD Traction motor Air gap eccentric |
| title | Air gap eccentric analysis and fault detection of traction motor |
| title_full | Air gap eccentric analysis and fault detection of traction motor |
| title_fullStr | Air gap eccentric analysis and fault detection of traction motor |
| title_full_unstemmed | Air gap eccentric analysis and fault detection of traction motor |
| title_short | Air gap eccentric analysis and fault detection of traction motor |
| title_sort | air gap eccentric analysis and fault detection of traction motor |
| topic | Fault detection RVMD Traction motor Air gap eccentric |
| url | https://doi.org/10.1186/s44147-023-00234-4 |
| work_keys_str_mv | AT jintianyin airgapeccentricanalysisandfaultdetectionoftractionmotor AT zhilonghe airgapeccentricanalysisandfaultdetectionoftractionmotor AT liliu airgapeccentricanalysisandfaultdetectionoftractionmotor AT zhihuapeng airgapeccentricanalysisandfaultdetectionoftractionmotor |