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Configuration Impacts on Eccentricity Fault Detection in Permanent Magnet Synchronous Motors

机译:配置对永磁同步电动机偏心故障检测的影响

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摘要

In this paper, a generalized theory is developed to detect eccentricity fault in synchronous machines. This theory is independent of synchronous machines configurations and structures. Using this theory, a frequency pattern is proposed for eccentricity fault diagnosis in any synchronous machine. Amplitude of the side-band components at the above mentioned frequencies is introduced as a proper index to identify eccentricity fault in synchronous machines. Here, an interior permanent magnet synchronous motor and a surface mounted permanent magnet synchronous motors are selected for modeling and analyzing. The aforementioned motors are simulated using two-dimensional time stepping finite element method. In this modeling method, non-linearity of the permanent magnets and core materials, spatial distribution of stator windings and non-uniformity of the airgap due to static and dynamic eccentricities are taken into account. By this modeling method, Stator currents are calculated for processing and feature extracting. The spectra of the aforementioned signals are computed to certificate extracted features and recognized patterns from presented theory. The simulation results are verified by the experimental results.
机译:本文提出了一种通用理论来检测同步电机的偏心故障。该理论与同步电机的配置和结构无关。利用该理论,提出了一种用于任何同步电机中的偏心故障诊断的频率模式。引入上述频率下的边带分量的幅度作为识别同步电机中的偏心故障的适当指标。在此,选择内部永磁同步电动机和表面安装永磁同步电动机进行建模和分析。使用二维时间步长有限元方法对上述电动机进行了仿真。在这种建模方法中,考虑了永磁体和铁心材料的非线性,定子绕组的空间分布以及由于静态和动态偏心引起的气隙不均匀。通过这种建模方法,可以计算出定子电流以进行处理和特征提取。计算前述信号的频谱以证明提取的特征和从提出的理论中识别出的图案。实验结果验证了仿真结果。

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