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A new approach for the short circuit between turns in stator winding fault diagnosis in induction machine

机译:感应电机定子绕组故障诊断中匝间短路的新方法

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This paper presents powerful techniques for the development of a new monitoring method based on multi-scale entropy (MSE) algorithm SampEn which allows correlations in signals to be identified over multiple time scales. The Park's vector approach in conjunction with principal component analysis (PCA) and comparison of observed values with those predicted from a model built using nominally healthy data. The faults study in this paper is short circuit between turns in stator winding of induction machine.
机译:本文提出了强大的技术,用于开发一种基于多尺度熵(MSE)算法SampEn的新监视方法,该方法允许在多个时间尺度上识别信号中的相关性。 Park的矢量方法结合了主成分分析(PCA),并将观察到的值与使用名义上健康的数据构建的模型预测的值进行了比较。本文研究的故障是感应电机定子绕组匝间短路。

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