Probabilistic Diagnosis of Short Circuit Fault in Stator Winding of Motor on the Basis of Feature Distributions

Abstract

This paper proposes a new method for the diagnosis of short circuit faults in the stator winding of a motor; the method involves gauging the probability of fault occurrence by considering feature distributions of a healthy motor. When a fault occurs, the current flowing into the motor increases, and the phase of the current leads that of the current in a healthy one. These characteristics of the current are valuable for fault diagnosis of motors. In this paper, first, we introduce the probability that can be used to detect a fault. Second, the average and standard deviation of both magnitudes and phases of the currents in several healthy motors are calculated. By using the calculated values and features observed in a target motor that is to be examined, the probability is computed. Finally, the usefulness of the proposed diagnosis method is verified through experiments involving the use of faulty motors.