Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

Hong-Chan Chang, Yu-Ming Jheng, Cheng-Chien Kuo and Yu-Min Hsueh
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Hong-Chan Chang: Department of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, Taiwan
Yu-Ming Jheng: Department of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, Taiwan
Cheng-Chien Kuo: Department of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, Taiwan
Yu-Min Hsueh: Department of Electrical Engineering, National Taiwan University of Science and Technology No.43, Keelung Rd., Sec.4, Da’an Dist, Taipei 10607, Taiwan

Energies, 2019, vol. 12, issue 8, 1-12

Abstract: 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.

Keywords: operating condition monitoring; fault diagnosis analysis; hybrid approach (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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