Wenlong Zhu
Wenlong Zhu has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chunyang Chen
School of Traffic and Transportation Engineering, Central South University, Changsha, China
1 shared publication - Dandan Wang
School of Traffic and Transportation Engineering, Central South University, Changsha, China
1 shared publication - Shu Cheng
Central South University
1 shared publication - Weicheng Li
CRRC Changchun Railway Vehicles Company Ltd
1 shared publication - Xun Wu
Central South University
1 shared publication - Youqiang Wu
Wenzhou Yikun Electric Company Ltd., Wenzhon, China
1 shared publication
Latest Publications
- 23 October 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 73 (2) , 3415-3425
A Novel DC-Link Capacitor Condition Monitoring Method Based on VBAKF Algorithm With Locally Variable Prior Matrix
DC-link capacitors in rail transit are susceptible to failure under hard working conditions, and it is important to estimate the capacitance for safe operation purpose. However, current approaches struggle to obtain accurate capacitance estimations in rail applications because of noise interference and modification restriction. Therefore, an effective method is proposed for capacitance estimation of dc-link capacitors in rail transit. The variational Bayesian adaptive Kalman filtering is designed for parameter calculation, and a novel update mechanism of prior matrix is introduced in the fixed-point iteration to improve calculation accuracy and noise immunity. The capacitance can be precisely calculated by input and capacitor voltages. The proposed method was tested on several metro vehicles, and the average error was 0.74%. Its feasibility within a certain range of signal-noise ratio, voltage deviation, and resistance drift was also proved. Comparison illustrated that the proposed method has advantages in estimation accuracy and convergence stability.
- 23 October 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 73 (2) , 3415-3425
A Novel DC-Link Capacitor Condition Monitoring Method Based on VBAKF Algorithm With Locally Variable Prior Matrix
DC-link capacitors in rail transit are susceptible to failure under hard working conditions, and it is important to estimate the capacitance for safe operation purpose. However, current approaches struggle to obtain accurate capacitance estimations in rail applications because of noise interference and modification restriction. Therefore, an effective method is proposed for capacitance estimation of dc-link capacitors in rail transit. The variational Bayesian adaptive Kalman filtering is designed for parameter calculation, and a novel update mechanism of prior matrix is introduced in the fixed-point iteration to improve calculation accuracy and noise immunity. The capacitance can be precisely calculated by input and capacitor voltages. The proposed method was tested on several metro vehicles, and the average error was 0.74%. Its feasibility within a certain range of signal-noise ratio, voltage deviation, and resistance drift was also proved. Comparison illustrated that the proposed method has advantages in estimation accuracy and convergence stability.