Diagnosis of electrical and mechanical faults of induction motor

Abstract

This paper proposes a new method for fault diagnosis of induction motors based on Hidden Markov Model, which is widely used in the field of speech recognition. In order to carry out pattern recognition, current waveforms running in stator winding are analyzed for motors with short circuit fault in stator windings or with broken rotor bars. Frequency spectrum of current are also investigated. The usefulness of the proposed diagnosis method is verified through pattern recognitions for arbitrary current waveforms obtained by experiments.