Composite fault diagnosis method of EMU traction motor speed sensor considering harmonic interference
by Yanshu Li; Hua Li; Jiyou Fei; Chang Lu; Jie Ma
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 29, No. 4, 2022

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.

Online publication date: Mon, 19-Dec-2022

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