Probabilistic diagnosis of short circuit fault in stator winding of motor based on feature distribution
Probabilistic diagnosis of short circuit fault in stator winding of motor based on feature distribution
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DOI：
10.1109/elinsl.2010.5549770
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发表时间：
2010-06
期刊：
影响因子：
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通讯作者：
Hiroyuki Fukui;Y. Mizuno;Hisahide Nakamura
中科院分区：
文献类型：
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作者：
Hiroyuki Fukui;Y. Mizuno;Hisahide Nakamura
本文提出了一种新的定子绕组匝间短路故障诊断方法，该方法利用流入定子绕组的电流的大小和相位两个特征。利用目标电机的幅值和相位，根据预先获得的健康电机的幅值和相位分布来计算故障概率。对发生匝间短路故障的电机进行了检验，证明了该方法的有效性。
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.