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首页> 外文会议>International Conference on Ecological Vehicles and Renewable Energies >Detection and Localization of Interturn Short-Circuit Fault by Analysis of Stator Accelerations Spectrum in Five-Phase Flux Switching Machine for HEV Application
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Detection and Localization of Interturn Short-Circuit Fault by Analysis of Stator Accelerations Spectrum in Five-Phase Flux Switching Machine for HEV Application

机译：混合动力车用五相通量开关机定子加速度频谱分析检测匝间短路故障并定位

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The aim of this study is to contribute at the characterization of vibration behavior in a five-phase flux switching machine permanent magnet (FSPM) under interturn short-circuit conditions. In this article, the vibration signature is obtained by experimental tests under both healthy and insulation failure conditions at 2100 rpm rotational speed. To extend the comprehension of short-circuit fault behavior, a previously implemented multiphysics model is adapted to studied cases. By a Finite Element Analysis (FEA)-based model, the radial component of magnetic induction in the airgap is calculated. The magnetic model is coupled to analytical mechanical model to determinate the displacement of inner circumference stator points. Following validation, this model is employed to study several configurations of short-circuit fault and the detection and discrimination of short circuit fault are discussed. Finally, an analysis of limitations and improvements of model is proposed.
机译：这项研究的目的是有助于表征匝间短路条件下的五相磁通量开关永磁体（FSPM）的振动行为。在本文中，通过在2100 rpm转速下的健康和绝缘破坏条件下的实验测试获得了振动信号。为了扩展对短路故障行为的理解，将先前实现的多物理场模型应用于研究案例。通过基于有限元分析（FEA）的模型，可以计算出气隙中磁感应的径向分量。磁性模型与解析机械模型耦合，以确定内周定子点的位移。经过验证，该模型用于研究短路故障的几种配置，并讨论了短路故障的检测和鉴别。最后，对模型的局限性和改进方法进行了分析。

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