Title: Composite fault diagnosis method of EMU traction motor speed sensor considering harmonic interference

Authors: Yanshu Li; Hua Li; Jiyou Fei; Chang Lu; Jie Ma

Addresses: College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China; College of Mechanical and Electrical Engineering, Shanxi Datong University, Datong, 037009, China ' College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China ' College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China ' College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China; School of Warrant Officer, PLA Army Academy of Artillery and Air Defense, Shenyang, 110000, China ' College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China

Abstract: In order to improve the accuracy of the fault diagnosis of the motor speed sensor and reduce the time-consuming, this paper proposes a composite fault diagnosis method for the traction motor speed sensor of the electric multiple unit (EMU) considering harmonic interference. This paper takes the traction system of the CRH2 EMU as the research object, calculates the multi-dimensional fuzzy harmonic closeness of the speed sensor fault signal and the normal signal, and extracts the harmonic interference characteristics. Experimental results show that the diagnostic accuracy of the proposed method is high, the time-consuming is stable below 150 ms, and the packet loss rate is stable at about 2%, which is significantly better than other comparative systems. The reliability of the proposed method is verified.

Keywords: harmonic interference; EMU; traction system; motor speed; speed sensor; D-S evidence theory.

DOI: 10.1504/IJHVS.2022.127812

International Journal of Heavy Vehicle Systems, 2022 Vol.29 No.4, pp.424 - 439

Received: 26 Mar 2021
Accepted: 13 Sep 2021
Published online: 19 Dec 2022 *

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