Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach
This study develops a condition monitoring system, which includes operating condition monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection approach based on the ISO 10816-1 and NEMA MG-1 international standards, and the FDA uses a vibration-electrical hybrid approa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/8/1471 |
| _version_ | 1817989930912055296 |
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| author | Hong-Chan Chang Yu-Ming Jheng Cheng-Chien Kuo Yu-Min Hsueh |
| author_facet | Hong-Chan Chang Yu-Ming Jheng Cheng-Chien Kuo Yu-Min Hsueh |
| author_sort | Hong-Chan Chang |
| collection | DOAJ |
| description | This study develops a condition monitoring system, which includes operating condition monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection approach based on the ISO 10816-1 and NEMA MG-1 international standards, and the FDA uses a vibration-electrical hybrid approach based on various indices. The system can acquire real-time vibration and electrical signals. Once an abnormal vibration has been detected by using OCM, the FDA is applied to classify the type of faults. Laboratory results indicate that the OCM can successfully diagnose induction motors healthy condition, and FDA can classify the various damages stator fault, rotor fault, bearing fault and eccentric fault. The FDA with the hybrid approach is more reliable than the traditional approach using electrical detection alone. The proposed condition monitoring system can provide simple and clear maintenance information to improve the reliability of motor operations. |
| first_indexed | 2024-04-14T00:52:29Z |
| format | Article |
| id | doaj.art-5cf5e6e251ff4e7295352454162e9dff |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T00:52:29Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5cf5e6e251ff4e7295352454162e9dff2022-12-22T02:21:44ZengMDPI AGEnergies1996-10732019-04-01128147110.3390/en12081471en12081471Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid ApproachHong-Chan Chang0Yu-Ming Jheng1Cheng-Chien Kuo2Yu-Min Hsueh3Department of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, TaiwanThis study develops a condition monitoring system, which includes operating condition monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection approach based on the ISO 10816-1 and NEMA MG-1 international standards, and the FDA uses a vibration-electrical hybrid approach based on various indices. The system can acquire real-time vibration and electrical signals. Once an abnormal vibration has been detected by using OCM, the FDA is applied to classify the type of faults. Laboratory results indicate that the OCM can successfully diagnose induction motors healthy condition, and FDA can classify the various damages stator fault, rotor fault, bearing fault and eccentric fault. The FDA with the hybrid approach is more reliable than the traditional approach using electrical detection alone. The proposed condition monitoring system can provide simple and clear maintenance information to improve the reliability of motor operations.https://www.mdpi.com/1996-1073/12/8/1471operating condition monitoringfault diagnosis analysishybrid approach |
| spellingShingle | Hong-Chan Chang Yu-Ming Jheng Cheng-Chien Kuo Yu-Min Hsueh Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach Energies operating condition monitoring fault diagnosis analysis hybrid approach |
| title | Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach |
| title_full | Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach |
| title_fullStr | Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach |
| title_full_unstemmed | Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach |
| title_short | Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach |
| title_sort | induction motors condition monitoring system with fault diagnosis using a hybrid approach |
| topic | operating condition monitoring fault diagnosis analysis hybrid approach |
| url | https://www.mdpi.com/1996-1073/12/8/1471 |
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