2010 Volume 130 Issue 9 Pages 1059-1066
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.
The transactions of the Institute of Electrical Engineers of Japan.C
The transactions of the Institute of Electrical Engineers of Japan.B
The transactions of the Institute of Electrical Engineers of Japan.A
The Journal of the Institute of Electrical Engineers of Japan