Fault Analysis of Metro Power Supply Module and Prediction Method

doi:10.12068/j.issn.1005-3026.2022.01.002

Abstract

Abstract: In order to improve the reliability of the metro traction inverter system， the tracking research on the failure of the power supply module in the traction inverter system is carried out. First， during the initial stage of the power module application， the rectification is presented for the burning problem. Then， a new failure prediction method is proposed. Fourier series and Markov theory are used to modify the prediction residuals once and twice， respectively. The improved grey model is established. The metabolism is introduced to make the final prediction. Finally， in order to verify the effectiveness of the method， several prediction methods are compared by the power module fault data of 8.5 years. The results show that the proposed method has a higher prediction accuracy and certain engineering application value.

Key words: power supply module; fault analysis; prediction model; improved grey model; metabolism

CLC Number:

U223.6

GONG Qi， CHEN Bing-zhi， LI Yong-hua， XIA Qing. Fault Analysis of Metro Power Supply Module and Prediction Method[J]. Journal of Northeastern University(Natural Science), 2022, 43(1): 8-16.

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