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PMSM model with phase-to-phase short-circuit and diagnosis by ESA and EPVA

机译:具有相间短路并通过ESA和EPVA诊断的PMSM模型

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摘要

One of the most frequent faults in PMSM stator is the insulation failure due to the degradation of the main isolation in the motor winding. This paper is aimed at suggesting a dynamic model of PMSM with phase-to-phase fault based on an equivalent electric circuit model including the real form of back EMF. The faulty model is used for studying the machine behavior and extracting the fault signatures for diagnosis. Two diagnostic techniques the Spectral Analysis (ESA) and Extend Park's Vectors Approach (EPVA) based on frequency analysis are applied to detect this kind of fault.
机译:PMSM定子中最常见的故障之一是由于电动机绕组中主绝缘性能下降而导致的绝缘故障。本文旨在基于等效电路模型(包括反电动势的真实形式),提出具有相间故障的PMSM动态模型。故障模型用于研究机器行为并提取故障特征以进行诊断。基于频谱分析的频谱分析(ESA)和扩展公园的矢量方法(EPVA)这两种诊断技术可用于检测此类故障。

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