Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform
In modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of the most substantial components. Nevertheless, such machines are exposed to various types of faults. Hence, on-line condition monitoring and fault diagnosis of PMSMs have become necessary. One...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2022-01-01
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| Series: | Power Electronics and Drives |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pead-2022-0009 |
| _version_ | 1811159404392742912 |
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| author | Pietrzak Przemysław Wolkiewicz Marcin |
| author_facet | Pietrzak Przemysław Wolkiewicz Marcin |
| author_sort | Pietrzak Przemysław |
| collection | DOAJ |
| description | In modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of the most substantial components. Nevertheless, such machines are exposed to various types of faults. Hence, on-line condition monitoring and fault diagnosis of PMSMs have become necessary. One of the most common PMSM faults is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that allow fault detection at its early stage. The article presents the results of experimental studies obtained from fast Fourier transform (FFT) and short-time Fourier transform (STFT) analyses of the stator phase current, stator phase current envelope and stator phase current space vector module. The superiority of the proposed method over the classical approach based on the stator current analysis using FFT is highlighted. The proposed solution is experimentally verified under various motor operating conditions. The application of STFT analysis discussed so far in the literature has been limited to the fault diagnosis of induction motors and the narrow range of the analysed motor operating conditions. Moreover, there are no works in the field of motor diagnostics dealing with STFT analysis for stator windings based on the stator current envelope and the stator current space vector module. |
| first_indexed | 2024-04-10T05:40:28Z |
| format | Article |
| id | doaj.art-e6f8691b42904952928104d16d46afd7 |
| institution | Directory Open Access Journal |
| issn | 2543-4292 |
| language | English |
| last_indexed | 2024-04-10T05:40:28Z |
| publishDate | 2022-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Power Electronics and Drives |
| spelling | doaj.art-e6f8691b42904952928104d16d46afd72023-03-06T10:30:09ZengSciendoPower Electronics and Drives2543-42922022-01-017111213310.2478/pead-2022-0009Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier TransformPietrzak Przemysław0Wolkiewicz Marcin1Wrocław University of Science and Technology,50-370Wrocław, PolandWrocław University of Science and Technology,50-370Wrocław, PolandIn modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of the most substantial components. Nevertheless, such machines are exposed to various types of faults. Hence, on-line condition monitoring and fault diagnosis of PMSMs have become necessary. One of the most common PMSM faults is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that allow fault detection at its early stage. The article presents the results of experimental studies obtained from fast Fourier transform (FFT) and short-time Fourier transform (STFT) analyses of the stator phase current, stator phase current envelope and stator phase current space vector module. The superiority of the proposed method over the classical approach based on the stator current analysis using FFT is highlighted. The proposed solution is experimentally verified under various motor operating conditions. The application of STFT analysis discussed so far in the literature has been limited to the fault diagnosis of induction motors and the narrow range of the analysed motor operating conditions. Moreover, there are no works in the field of motor diagnostics dealing with STFT analysis for stator windings based on the stator current envelope and the stator current space vector module.https://doi.org/10.2478/pead-2022-0009faults diagnosiscondition monitoringinter-turn short circuitpermanent magnet synchronous motorshort-time fourier transform |
| spellingShingle | Pietrzak Przemysław Wolkiewicz Marcin Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform Power Electronics and Drives faults diagnosis condition monitoring inter-turn short circuit permanent magnet synchronous motor short-time fourier transform |
| title | Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform |
| title_full | Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform |
| title_fullStr | Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform |
| title_full_unstemmed | Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform |
| title_short | Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform |
| title_sort | stator winding fault detection of permanent magnet synchronous motors based on the short time fourier transform |
| topic | faults diagnosis condition monitoring inter-turn short circuit permanent magnet synchronous motor short-time fourier transform |
| url | https://doi.org/10.2478/pead-2022-0009 |
| work_keys_str_mv | AT pietrzakprzemysław statorwindingfaultdetectionofpermanentmagnetsynchronousmotorsbasedontheshorttimefouriertransform AT wolkiewiczmarcin statorwindingfaultdetectionofpermanentmagnetsynchronousmotorsbasedontheshorttimefouriertransform |