特徴量分布に基づいた電動機固定子巻線短絡故障の確率的診断

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  • Probabilistic Diagnosis of Short Circuit Fault in Stator Winding of Motor on the Basis of Feature Distributions
  • トクチョウリョウ ブンプ ニ モトズイタ デンドウキ コテイシ マキセン タンラク コショウ ノ カクリツテキ シンダン

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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.

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