Dr. Yuejian Chen, P.Eng.

Area

Dynamic Modelling, Vibration Signal Processing, Prognosis and Health Management, Artificial Intelligence

Expertise

Dynamic modelling, statistical data-driven modelling, and machine condition monitoring data analytics.

Research description

Dr. Chen’s current research is on developing digital twins and advancing health management methodologies for ensuring the safe and economic operation of complex systems like railway vehicles, wind turbines and steam turbines.

Yuejian (Eugene) Chen received PhD in Mechanical Engineering at the University of Alberta, Edmonton, in Alberta, Canada, in 2020 and was a post-doctoral research fellow there until 2021. From 2021 to 2024, he was an Assistant Professor at the Institute of Rail Transit, Tongji University, China. In 2024, He joined the Department of Mechanical Engineering, University of Manitoba, as an Assistant Professor.

His research interests include dynamic modelling, signal processing, and artificial intelligence with applications for railway transportation and energy generation systems. He has authored and coauthored more than 60 research articles.

He is an Associate Editor of the
IEEE Sensors Journal
IEEE Transactions on Instrumentation and Measurement
Smart and Resilient Transportation
Mechatronic Systems and Control

(Leading) Guest Editor
Mechanical Systems and Signal Processing
Reliability Engineering and System Safety
Engineering Applications of Artificial Intelligence
Journal of Vibration and Control

See current positions (PDF)

[1]. Yuejian Chen, Zihan Li, Yuan Jiang, Dao Gong, Kai Zhou*. Sparse LPV-ARMA model for non-stationary vibration representation and its application on gearbox tooth crack detection under variable speed conditions. Mechanical Systems and Signal Processing, vol 224, 112161, 2025
[2]. Yuejian Chen, Xuemei Liu, Meng Rao, Yong Qin, Zhpeng Wang, Yuanjin Ji*. Explicit speed-integrated LSTM for the gearbox tooth crack detection under variable speed conditions. Reliability Engineering and System Safety, 254:110596, 2024.
[3]. Yuanjin Ji#, Youpei Huang, Junwei Zeng, Lihui Ren, Yuejian Chen*. A Physical‒Data-Driven combined strategy for load identification of tire type rail transit vehicle. Reliability Engineering and System Safety, 253:110493, 2025.
[4]. Zhenyu Zhang#, Jiabing Zhang, Yueijan Chen*. An online metro train bottom monitoring system based on multi-camera fusion. IEEE Sensors Journal. 24(17): 27687-27698, 2024.
[5]. Yuan Jiang#, Yuejian Chen*, Pingfeng Wang*. An iterative adaptive Vold-Kalman filter for non-stationary signal decomposition in mechatronic transmission fault diagnosis under variable speed conditions. IEEE Transactions on Industrial Informatics, 20(8):10510-10519, 2024.
[6]. Yuejian Chen, Ke Feng*, Stephan Schmidt, P. Stephan Heyns, Gang Niu. Advanced nonstationary signal processing algorithms and techniques for machinery fault diagnosis and prognosis. Mechanical Systems and Signal Processing, Editorial, 111794, 2024.
[7]. Yuejian Chen, Meng Rao, Ke Feng, Gang Niu*. “Modified varying index coefficient autoregression model for representation of the nonstationary vibration from a planetary gearbox” IEEE Transactions on Instru-mentation and Measurement, vol.72, 3511812, 2023. （ESI Highly Cited, Hot Paper）
[8]. Yuejian Chen, Gang Niu, Yifan Li*, Yongbo Li. “A modified bidirectional long short term neural network for rail vehicle suspension fault detection” Vehicle System Dynamics, vol.61(2), p.1-25, 2022.
[9]. Yuejian Chen, Yizhao Li*, Gang Niu, Ming J. Zuo. “Offline and online measurement of the geometries of train wheelsets: a review” IEEE Transactions on Instrumentation and Measurement, vol. 71, 3205691, 2022.
[10]. Yuejian Chen, Meng Rao, Ke Feng, and Ming J. Zuo*. “Physics-informed LSTM hyperparameters selection for gearbox fault detection” Mechanical Systems and Signal Processing, vol.171, p.108907, 2022. （ESI Highly Cited）
[11]. Yuejian Chen, Ming J. Zuo*. “A sparse multivariate time series model-based fault detection method for a gearbox under variable speed condition” Mechanical Systems and Signal Processing, vol. 167, p.108539, 2022.
[12]. Yuejian Chen, Stephan Schmidt, Stephan Heyns, and Ming J. Zuo*, “A time series model-based method for gear tooth crack detection and severity assessment under random speed variation” Mechanical Systems and Signal Processing, vol. 156, pp.107605. July 2021.
[13]. Yuejian Chen, Xihui Liang, and Ming J. Zuo*, “An improved singular value decomposition-based method for gear tooth crack detection and severity assessment”, Journal of Sound and Vibration, 468, p.115068, 2020.
[14]. Yuejian Chen, Xihui Liang, and Ming J. Zuo*, “Sparse time series modeling of the baseline vibration from a gearbox under time-varying speed condition”, Mechanical Systems and Signal Processing, vol. 134, pp.106342. Sept 2019.