scholarly journals Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors

10.5772/67245 ◽  
2017 ◽  
Author(s):  
Muhammad Aman Sheikh ◽  
Nursyarizal Mohd Nor ◽  
Taib Ibrahim ◽  
Sheikh Tahir Bakhsh ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Induction Motors ◽  
Noninvasive Methods

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

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1471 ◽  
Author(s):  
Hong-Chan Chang ◽  
Yu-Ming Jheng ◽  
Cheng-Chien Kuo ◽  
Yu-Min Hsueh
Keyword(s):  
Fault Diagnosis ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Induction Motors ◽  
Traditional Approach ◽  
Hybrid Approach ◽  
International Standards ◽  
Detection Approach ◽  
Condition Monitoring System ◽  
Stator Fault

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.

Condition Monitoring and Fault Diagnosis of Induction Motors: A Review

2018 ◽  
Vol 26 (4) ◽  
pp. 1221-1238 ◽  
Author(s):  
Anurag Choudhary ◽  
Deepam Goyal ◽  
Sudha Letha Shimi ◽  
Aparna Akula
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Induction Motors
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