永磁同步电机定子故障诊断技术综述

Review on fault diagnosis technology of permanent magnet synchronous machine

  • 摘要: 永磁同步电机(permanent magnet synchronous machine,PMSM)的结构简单、功率因数高、力能指标好,因此广泛应用于各个不同的领域。文章介绍了PMSM的基本工作原理和简化数学模型,针对定子绕组开路故障,采用处理和优化电流信号的方式对比数据诊断出故障相;针对定子绕组短路故障,根据短路严重程度分类采用数学模型获取特征信号,利用优化算法提取负序、零序电压和电流特征值分量,实现故障的诊断与定位;针对定子绕组不对称故障,通过提取PMSM负序分量定子绕组电流与阻抗的数据,诊断出故障相。在复杂工况下,对PMSM定子故障的诊断采用深度神经网络模型,结合优化算法削弱故障特征量纲的影响,以增强诊断模型的通用性,进一步提升PMSM定子故障在线诊断能力。

     

    Abstract: The permanent magnet synchronous machine (PMSM) finds extensive application across numerous domains due to its straightforward structure, elevated power factor, and impressive power performance. This paper delves into the fundamental operational principles and presents a simplified mathematical representation of the PMSM. Aiming at the stator faults that may occur in single or complex working conditions of PMSM, the causes and diagnosis methods of various stator faults are classified and discussed. The improvement strategies for stator fault detection and resolution are summarized, along with an overview of the applicable contexts for stator fault diagnosis methods. Each online monitoring technology for stator faults is examined individually. Lastly, the current research challenges and future directions for development are identified.

     

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