Condition Monitoring and Fault Diagnosis of Squirrel Cage Induction Motors Based on AI Techniques – a Comprehensive study

Condition Monitoring and Fault Diagnosis of Induction motors has been gaining immense popularity with the advent of Vibration Analysis and Current Signature Analysis. AI techniques, which include ANN, Fuzzy, Neuro-Fuzzy systems, are now being extended as a decision making tool to MCSA, Vibration Analysis. In this paper, a comprehensive study is carried out on MCSA, various AI methodologies employed for fault diagnosis of Induction motors and some specific examples are presented.