Dandan Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dandan Wang has a total of 9 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
2 shared publications - Xun Wu
Central South University
2 shared publications - Kaidi Li
Shenzhen Metro Group, Shenzhen, China
1 shared publication - Pengmin Zhuang
Shenzhen Metro Operation Group Company Ltd., Shenzhen, China
1 shared publication - Shu Cheng
Central South University
1 shared publication - Weicheng Li
CRRC Changchun Railway Vehicles Company Ltd
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.
- 16 January 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 72 (8) , 8623-8632
A Capacitance Estimation Method for DC-Link Capacitors in Rail Transit Based on Maximum Likelihood and Variable Convergence Factor
Film capacitor is widely used as dc-link capacitor in rail transit converters. Its capacitance decreases under hard working conditions and the capacitance estimation is necessary for condition monitoring. Currently, there are several challenges in rail transit applications: strong noise, low sampling frequency, and modification. In this article, a capacitance estimation method based on maximum likelihood and variable convergence factor is proposed. The input and capacitor voltages are used for modeling. The initial values of model parameters and signal noise are evaluated by recursive least square (RLS). Then, the maximum likelihood (ML) with Newton–Raphson iteration is used for parameter calculation, and a variable convergence factor is designed to solve the numerical divergence problem. The capacitance is accurately estimated and the challenges are well addressed. The proposed method was verified on the vehicles of Shenzhen Metro Group, and the error was within 2%. Performance analysis showed that the proposed method had certain immunity in the case of early signal faults and resistance offsets. The comparison results proved the advantages of the proposed method in accuracy and convergence speed.
- 16 January 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 72 (8) , 8623-8632
A Capacitance Estimation Method for DC-Link Capacitors in Rail Transit Based on Maximum Likelihood and Variable Convergence Factor
Film capacitor is widely used as dc-link capacitor in rail transit converters. Its capacitance decreases under hard working conditions and the capacitance estimation is necessary for condition monitoring. Currently, there are several challenges in rail transit applications: strong noise, low sampling frequency, and modification. In this article, a capacitance estimation method based on maximum likelihood and variable convergence factor is proposed. The input and capacitor voltages are used for modeling. The initial values of model parameters and signal noise are evaluated by recursive least square (RLS). Then, the maximum likelihood (ML) with Newton–Raphson iteration is used for parameter calculation, and a variable convergence factor is designed to solve the numerical divergence problem. The capacitance is accurately estimated and the challenges are well addressed. The proposed method was verified on the vehicles of Shenzhen Metro Group, and the error was within 2%. Performance analysis showed that the proposed method had certain immunity in the case of early signal faults and resistance offsets. The comparison results proved the advantages of the proposed method in accuracy and convergence speed.