Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors
This paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motor vibration by applying envelope analysis, which makes it possible to capture electrical short-circuit signature in mechanic...
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The Prognostics and Health Management Society
2015-01-01
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| Series: | International Journal of Prognostics and Health Management |
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| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2239 |
| _version_ | 1819027415983194112 |
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| author | Chao Jin Agusmian P. Ompusunggu Zongchang Liu Hossein D. Ardakani Fredrik Petré Jay Lee |
| author_facet | Chao Jin Agusmian P. Ompusunggu Zongchang Liu Hossein D. Ardakani Fredrik Petré Jay Lee |
| author_sort | Chao Jin |
| collection | DOAJ |
| description | This paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motor vibration by applying envelope analysis, which makes it possible to capture electrical short-circuit signature in mechanical signals, even if the magnitude of the fault is fairly incipient. Conventional induction motor condition-based maintenance methods usually involve current and voltage measurements, which could be expensive to collect, and vibration-based analysis is often only capable of detecting the fault when it is already quite significant. In contrast, the solution presented in this study provides a refreshing perspective by applying time synchronous averaging to remove the discrete frequency component, and amplitude demodulation to further enhance the signal with the help of kurtogram. Experimental results on a three-phase induction motor show that the method is also able to distinguish different fault severity levels. |
| first_indexed | 2024-12-21T05:42:07Z |
| format | Article |
| id | doaj.art-df314d6b5fc943a4a576fe273e976971 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 2153-2648 |
| language | English |
| last_indexed | 2024-12-21T05:42:07Z |
| publishDate | 2015-01-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-df314d6b5fc943a4a576fe273e9769712022-12-21T19:14:14ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482153-26482015-01-0161doi:10.36001/ijphm.2015.v6i1.2239Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction MotorsChao Jin0Agusmian P. Ompusunggu1Zongchang Liu2Hossein D. Ardakani3Fredrik Petré4Jay Lee5NSF I/UCRC Center for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, 45221, USAFlanders’ Mechatronics Technology Centre (FMTC), A Division of Flanders' Make vzw, Heverlee (Leuven), 3001, BelgiumNSF I/UCRC Center for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, 45221, USANSF I/UCRC Center for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, 45221, USAFlanders’ Mechatronics Technology Centre (FMTC), A Division of Flanders' Make vzw, Heverlee (Leuven), 3001, BelgiumNSF I/UCRC Center for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, 45221, USAThis paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motor vibration by applying envelope analysis, which makes it possible to capture electrical short-circuit signature in mechanical signals, even if the magnitude of the fault is fairly incipient. Conventional induction motor condition-based maintenance methods usually involve current and voltage measurements, which could be expensive to collect, and vibration-based analysis is often only capable of detecting the fault when it is already quite significant. In contrast, the solution presented in this study provides a refreshing perspective by applying time synchronous averaging to remove the discrete frequency component, and amplitude demodulation to further enhance the signal with the help of kurtogram. Experimental results on a three-phase induction motor show that the method is also able to distinguish different fault severity levels.https://papers.phmsociety.org/index.php/ijphm/article/view/2239vibration monitoringearly fault detectionenvelope analysisinduction motor |
| spellingShingle | Chao Jin Agusmian P. Ompusunggu Zongchang Liu Hossein D. Ardakani Fredrik Petré Jay Lee Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors International Journal of Prognostics and Health Management vibration monitoring early fault detection envelope analysis induction motor |
| title | Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors |
| title_full | Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors |
| title_fullStr | Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors |
| title_full_unstemmed | Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors |
| title_short | Envelope Analysis on Vibration Signals for Stator Winding Fault Early Detection in 3-Phase Induction Motors |
| title_sort | envelope analysis on vibration signals for stator winding fault early detection in 3 phase induction motors |
| topic | vibration monitoring early fault detection envelope analysis induction motor |
| url | https://papers.phmsociety.org/index.php/ijphm/article/view/2239 |
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