Advanced Fault Detection Technique of Three Phase Induction Motor: Comprehensive Review

This article provides a comprehensive review of fault types and detection methods in induction motors. It discusses the impact of eccentricity faults on motor efficiency, highlighting the use of Motor Current Signature Analysis (MCSA) for static and dynamic eccentricity detection. Additionally, it explores the detection of broken rotor bars through MCSA and sideband components analysis. Stator or armature faults caused by insulation failure are identified using techniques such as Partial Discharge (PD) tests, axial flux component analysis, and statistical process control. The article also addresses bearing faults, categorizing them as ball defects, train defects, outer bearing race defects, and inner bearing race defects, while presenting advanced fault detection methods for three phase induction approaches. motors, including artificial intelligence-based