Diagnosis of short circuit fault of induction motor based on hidden markov model

Short circuit of a stator winding is one of the most probable faults of induction motors. Once the fault occurs, the current waveform flowing in the winding will be distorted from sinusoidal depending on the degree of short circuit fault. In a series of experiments using induction motors with artificially introduced short circuit fault in stator windings, current waveforms were recorded and analyzed. A novel diagnostic system based on Hidden Markov Model was confirmed effective for diagnosis of short circuit faults through pattern recognition of current waveforms obtained in experiments.