PCA-Based On-Line Diagnosis of Induction Motor Stator Fault Feed by PWM Inverter

J. Martins, V. Pires, A. Pires
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引用次数: 18

Abstract

In this paper an automatic PCA (principal component analysis) based algorithm is presented for an on-line diagnostics of three-phase PWM feed induction motor stator fault. The analysis of the fault is derived from the two first principal components of the power inverter output current alphabeta-vector patterns. The obtained eigenvalues are used to discern if the motor is healthy or not, and the correspondent eigenvectors can infer the phase in which the fault occurs. The method is simple to implement and is able to indicate the extend of the fault; rather then only detect its presence
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基于pca的PWM逆变器异步电机定子故障在线诊断
本文提出了一种基于主成分分析的三相PWM馈电异步电动机定子故障在线诊断算法。故障的分析是由电源逆变器输出电流α - β向量模式的两个前主分量推导出来的。得到的特征值用于判断电机是否健康,相应的特征向量可以推断出故障发生的相位。该方法实现简单,能够指示故障的范围;而不是仅仅检测它的存在
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