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Detection of Demagnetization Faults in Permanent-Magnet Synchronous Motors Under Nonstationary Conditions

机译:非平稳状态下永磁同步电动机退磁故障的检测

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This paper presents the results of our study of the permanent-magnet synchronous motor (PMSM) running under demagnetization. We examined the effect of demagnetization on the current spectrum of PMSMs with the aim of developing an effective condition-monitoring scheme. Harmonics of the stator currents induced by the fault conditions are examined. Simulation by means of a two-dimensional finite-element analysis (FEA) software package and experimental results are presented to substantiate the successful application of the proposed method over a wide range of motor operation conditions. Methods based on continuous wavelet transform (CWT) and discrete wavelet transform (DWT) have been successfully applied to detect and to discriminate demagnetization faults in PMSM motors under nonstationary conditions. Additionally, a reduced set of easy-to-compute discriminating features for both CWT and DWT methods has been defined. We have shown the effectiveness of the proposed method by means of experimental results.
机译:本文介绍了我们对退磁下运行的永磁同步电动机(PMSM)的研究结果。我们研究了去磁对永磁同步电动机当前频谱的影响,目的是开发一种有效的状态监测方案。检查由故障条件引起的定子电流的谐波。借助于二维有限元分析(FEA)软件包进行了仿真,并给出了实验结果,以证实该方法在各种电动机运行条件下的成功应用。基于连续小波变换(CWT)和离散小波变换(DWT)的方法已成功应用于检测和判别非平稳条件下PMSM电动机的退磁故障。此外,已经定义了一套简化的CWT和DWT方法易于计算的识别功能。我们已经通过实验结果表明了该方法的有效性。

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