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A Fault Diagnosis Method for Current Sensors of Primary Permanent-Magnet Linear Motor Drives
IEEE Transactions on Power Electronics ( IF 6.7 ) Pub Date : 2021-02-01 , DOI: 10.1109/tpel.2020.3011125
Wei Wang , Weijie Tian , Zheng Wang , Wei Hua , Ming Cheng

In this article, a fault diagnosis method is proposed to detect current sensor faults for the studied primary permanent-magnet linear motor (PPMLM) traction system, in which only two current sensors are required, and the gain fault and zero-offset fault can be distinguished. In this proposed fault diagnosis method, synchronous currents are estimated by the PPMLM model. By comparing the estimated and measured synchronous currents, estimation errors are calculated, and ac components can be extracted by corresponding filters. In the synchronous frame, the zero-offset fault and the gain fault can be detected by the single-frequency and double-frequency components, respectively. Furthermore, the fault phase also can be located. Compared with conventional fault diagnosis methods, the proposed one can distinguish gain fault and zero-offset fault but only two current sensors are required. Simulation and experimental results verify the effectiveness of the proposed fault diagnosis method.

中文翻译:

一种初级永磁直线电机驱动电流传感器的故障诊断方法

本文针对所研究的初级永磁直线电机(PPLMM)牵引系统,提出了一种检测电流传感器故障的故障诊断方法,该方法只需要两个电流传感器,即可检测增益故障和零偏置故障。区别开来。在这个建议的故障诊断方法中,同步电流是由 PPMLM 模型估计的。通过比较估计和测量的同步电流,计算估计误差,并且可以通过相应的滤波器提取交流分量。在同步坐标系中,零偏故障和增益故障可以分别通过单频和双频分量检测。此外,还可以定位故障相。与传统的故障诊断方法相比,建议的一种可以区分增益故障和零偏移故障,但只需要两个电流传感器。仿真和实验结果验证了所提出的故障诊断方法的有效性。
更新日期:2021-02-01
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