TY - JOUR
T1 - A Comprehensive Diagnosis Method for Transistor and Current Sensor Faults in Traction Converters
AU - Tao, Hongwei
AU - Song, Yunquan
AU - Huang, Zhen
AU - Gao, Jinqiu
AU - Yu, Yunjun
AU - Gong, Chao
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The traction converter is an indispensable component in the train. Its reliability is essential for the safety and efficiency of the electric traction system. However, transistor open-circuit (OC) faults and current sensor faults in the traction converter may lead to operational risk, posing a danger to the safety. In this paper, a comprehensive diagnosis method for transistor and current sensor faults is presented. First, the converter topology is introduced and the DC-link model is constructed, both OC faults and current sensor faults are analyzed. Next, the estimated value of the differential dc-link voltage is calculated, the residual is acquired and used for fault detection. Then, combining with the current directions and command signals, sampling points related to the corresponding faults are counted and normalized. The characteristics of the percentages under different fault conditions are extracted, rules are established for fault diagnosis. Finally, the traction converter platform is developed. The effectiveness and accuracy of the proposed method are validated by experimental results.
AB - The traction converter is an indispensable component in the train. Its reliability is essential for the safety and efficiency of the electric traction system. However, transistor open-circuit (OC) faults and current sensor faults in the traction converter may lead to operational risk, posing a danger to the safety. In this paper, a comprehensive diagnosis method for transistor and current sensor faults is presented. First, the converter topology is introduced and the DC-link model is constructed, both OC faults and current sensor faults are analyzed. Next, the estimated value of the differential dc-link voltage is calculated, the residual is acquired and used for fault detection. Then, combining with the current directions and command signals, sampling points related to the corresponding faults are counted and normalized. The characteristics of the percentages under different fault conditions are extracted, rules are established for fault diagnosis. Finally, the traction converter platform is developed. The effectiveness and accuracy of the proposed method are validated by experimental results.
KW - OC faults
KW - Traction converter
KW - fault diagnosis
KW - sensor faults
UR - https://www.scopus.com/pages/publications/105023058179
U2 - 10.1109/TPEL.2025.3636463
DO - 10.1109/TPEL.2025.3636463
M3 - 文章
AN - SCOPUS:105023058179
SN - 0885-8993
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
ER -