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Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

机译:基于零序分量的永磁同步电机在线匝间故障诊断

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摘要

This paper develops an online interturn fault diagnosis method for permanent magnet synchronous machine (PMSM). The mathematical model of the PMSM with interturn fault is established. The zero-sequence voltage component and zero-sequence current component are analyzed in the PMSM, respectively. Then, the new fault indicators are defined to remove the influence of the variation of the rotor speed and an effective frequency tracking algorithm is presented to extract fault indicators. In this proposed method, not only the interturn fault can be effectively detected, but also the phase in which this fault occurs can be accurately identified. The experiments are carried out and the experiment results verify the effectiveness of the proposed method.
机译:本文开发了一种永磁同步电机在线匝间故障诊断方法。建立了匝间故障永磁同步电机的数学模型。在PMSM中分别分析了零序电压分量和零序电流分量。然后,定义新的故障指标以消除转子速度变化的影响,并提出了一种有效的频率跟踪算法来提取故障指标。在该提出的方法中,不仅可以有效地检测匝间故障,而且可以准确地识别出发生该故障的阶段。进行了实验,实验结果验证了该方法的有效性。

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