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Eccentricity fault detection in multiphase permanent magnet assisted synchronous reluctance motor

机译:多相永磁辅助同步磁阻电动机的偏心故障检测

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This paper presents fault detection and its analysis for permanent magnet assisted synchronous reluctance motor (PMa-SynRM). The PMa-SynRM has been increasingly studied for critical service application where high efficiency and reliability is required in industry. However, the research on the fault in a PMa-SynRM has been limitedly studied, and no study on the eccentricity fault diagnosis for multiphase PMa-SynRM has been documented so far. The three-phase and five-phase PMa-SynRM has been comparatively analyzed under eccentricity condition to identify a fault diagnosis index which is independent from phase numbers. The simulation model for PMa-SynRM has been developed using finite element method (FEM). Through FEM, static eccentricity (SE), dynamic eccentricity (DE) and mixed eccentricity (ME) are designed to evaluate the performance of the multiphase PMa-SynRM motors under faulty conditions. The fault features have been extracted through average torque, torque ripple, and back-EMF harmonics. Theoretical analysis with designed motors has been done to evaluate extracted features under eccentricity condition.
机译:本文介绍了永磁辅助同步磁阻电动机(PMa-SynRM)的故障检测及其分析。 PMa-SynRM已针对在工业中需要高效和高可靠性的关键服务应用进行了越来越多的研究。但是,对PMa-SynRM中的故障的研究很少,到目前为止,还没有关于多相PMa-SynRM的偏心故障诊断的研究的文献。在偏心条件下,对三相和五相PMa-SynRM进行了比较分析,以确定与相数无关的故障诊断指标。已使用有限元方法(FEM)开发了PMa-SynRM的仿真模型。通过有限元分析,设计了静态偏心率(SE),动态偏心率(DE)和混合偏心率(ME)来评估多相PMa-SynRM电动机在故障条件下的性能。通过平均转矩,转矩脉动和反电动势谐波提取了故障特征。用设计好的电动机进行了理论分析,以评估偏心条件下提取的特征。

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