Y. (Yuanchen) Zeng
Y. (Yuanchen) Zeng
Ruimte: 23.S2 1.31
Yuanchen Zeng is a Postdoc Researcher at the Section of Railway Engineering, Delft University of Technology. His research focuses on train-borne condition monitoring of rail infrastructure, especially the development and application of Laser Doppler Vibrometer on a moving platform. He is involved in Europe’s Rail Flagship Project 3: IAM4RAIL (Holistic and Integrated Asset Management for Europe’s Rail System).
Yuanchen Zeng got his Bachelor's degree in Mechatronics Engineering from Zhejiang University in 2016. Then, he completed his Master-PhD combined program at the State Key Laboratory of Traction Power, Southwest Jiaotong University in 2022. His research focused on the monitoring, prognostics, and maintenance of high-speed train wheels. Some key publications from his previous research are listed below.
- Y. Zeng, D. Song, W. Zhang, et al. An optimal life cycle reprofiling strategy of train wheels based on Markov decision process of wheel degradation. IEEE Transactions on Intelligent Transportation Systems. 2022, 23(8): 10354 - 10364.
- Y. Zeng, D. Song, W. Zhang, et al. Physics-based data-driven interpretation and prediction of rolling contact fatigue damage on high-speed train wheels. Wear. 2021, 484: 203993.
- Y. Zeng, D. Song, W. Zhang, et al. A new physics-based data-driven guideline for wear modelling and prediction of train wheels. Wear. 2020, 456: 203355.
- Y. Zeng, D. Song, W. Zhang, et al. Risk assessment of wheel polygonization on high-speed trains based on Bayesian networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2021, 235(2): 182-192.
- Y. Zeng, D. Song, W. Zhang, et al. Influence of different railway lines on wheel damage of high-speed trains: Data-driven modelling and prediction. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2022: 1748006X221122032.
- Y. Zeng, W. Zhang, D. Song, et al. A new strategy for hunting alarm and stability evaluation for railway vehicles based on nonlinear dynamics analysis. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2020, 234(1): 54-64.
Speckle noise reduction for structural vibration measurement with laser Doppler vibrometer on moving platform
Yuanchen Zeng / Alfredo Nunez / Zili Li
An Interpretable Method for Operational Modal Analysis in Time-Frequency Representation and Its Applications to Railway Sleepers
Yuanchen Zeng / Chen Shen / Alfredo Núñez / Rolf Dollevoet / Weihua Zhang / Zili Li
A Simulation Study on Characterizing Transfer Functions of Railway Tracks Using Train-Borne Laser Doppler Vibrometer
Yuanchen Zeng / Alfredo Núñez / Zili Li