Probabilistic diagnosis of short circuit fault in stator winding of motor based on feature distribution

This paper proposes a new diagnostic method for turn-to-turn short circuit faults in stator windings using two features of current flowing into the windings, i.e. its magnitude and phase. By using the magnitude and the phase of a target motor, fault probability is calculated based on their distributions of healthy motors obtained beforehand. Examination using motors with turn-to-turn short circuit faults proved that the method proposed is quite effective.

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