DONG WeiAssociate Research Professor

  • Email : weidong@tsinghua.edu.cn
  • Phone : 010-62796411
  • Address : Information Science and Technology Building 1-307, Tsinghua University, Beijing, China
Education Background

Sep. 2000-Jul. 2006 Doctor of Engineering in Control Science and Engineering, Control Science and Engineering, Department of Automation, Tsinghua University

Sep. 1996-Jul. 2000 Bachelor of Engineering in Automation, Department of Automation, Tsinghua University


Work Experience

Aug. 2019-present Associate Researcher, Beijing National Research Center for Information Science and Technology, Tsinghua University

Aug. 2006-Jul. 2019 Assistant Researcher / Associate Researcher, Research Institute of Information Technology, Tsinghua University


Research Areas

(1)Modeling, Simulation and Integration Testing of Complex Engineering Systems

(2)Fault Diagnosis and Intelligent Maintenance of Industrial Systems

(3)Intelligent Control and Decision of Industrial System


Research Overview

Long-term engaged in research work of modeling, fault diagnosis, intelligent control and decision-making for rail transit and other complex engineering system. He presided over one project of the National Natural Science Foundation of China, two sub-projects of the national key research and development plan, one independent research plan of the Ministry of Education, and more than 10 horizontal research projects.


Awards and Honors

(1)Second prize of Science and Technology Award of China Railway Association ( 2012 )

(2)First prize of Beijing Science and Technology Progress Award ( 2023 )


Academic Achievements

(1)Representative Papers:

[1] Wu, Lezhou; Ye, Hao; Dong, Wei; Jiang, Ming; Yu, Xiaoquan; Xu, Zongqi. An optimal scheduling method for heavy haul trains with virtual coupling technology, International Journal of Rail Transportation, 2024, DOI:10.1080/23248378.2024.2400173.

[2] Zhongcan Li; Ping Huang; Chao Wen; Wei Dong; Yindong Ji; Filipe Rodrigues. Railway network delay evolution: A heterogeneous graph neural network approach. Applied Soft Computing, 2024, 159:111640.

[3] L. Liu; H. Ye; W. Dong; J. Cui. Comprehensive Model Construction and Simulation for Superconducting Electrodynamic Suspension Train, Complex System Modeling and Simulation, 2023, 3(3): 220-235.

[4] Zhao, Hui; Liu, Jingwei; Dong, Wei; Sun, Xinya; Ji, Yindong. An improved case-based reasoning method and its application on fault diagnosis of Tennessee Eastman process. Neurocomputing, 2017, 249:266-276.

[5] Niu, Yingjun; Dong, Wei; Ji, Yindong. Mode-independent H filtering for discrete-time Markov jump linear system with parametric uncertainties and quantized measurements, International Journal of Adaptive Control and Signal Processing, 2016, 30(7): 957-971.

[6] N. Yingjun; D. Wei; J. Yindong, State estimation for networked systems with a Markov plant in the presence of missing and quantized. IET Control Theory and Application, 2015, 10(5): 599-606.

[7] Niu, Yingjun; Dong, Wei; Ji, Yindong. Robust H∞ Filtering for Discrete-Time Markov Jump Linear System with Missing Measurements. Mathematical Problems in Engineering, 2015.

[8] Dong, Wei. Fault Diagnosis for Compensating Capacitors of Jointless Track Circuit Based on Dynamic Time Warping, Mathematical Problems in Engineering, 2014.

[9] Chang, Ming; Dong, Wei; Ji, Yindong. A distributed approach for track occupancy detection. Control Engineering Practice, 2014, 22:68-80.

[10] Wan, YM; Dong, W; Wu, H; Ye, H. Integrated fault detection system design for linear discrete time-varying systems with bounded power disturbances. International Journal of Robust and Nonlinear Control. NOV 10 2013, 23(16): 1781-1802.

[11] Wan, Yiming; Dong, Wei; Ye, Hao. Integrated trade-off design of fault detection system for linear discrete time-varying systems. IET Control Theory and Applications, FEB 2013, 7(3): 455-463.

[12] Li Liang; Dong Wei; Ji Yindong; Zhang Zengke. An improved parameter identification approach for piecewise affine model. Control Engineering Practice, JAN 2013, 21(1): 54–64.

[13] Li, Liang; Dong, Wei; Ji, Yindong; Zhang, Zengke; Tong, Lang. Minimal-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model, IEEE Transactions on Intelligent Transportation Systems, 2013, 4(14): 1642-1653.


(2)Authorized Patent:

[1] Dong Wei; Sun Xinya; Ji Yindong. A global structural risk bottleneck identification method and system for regional rail transit, 2024-9-24, China, ZL202010711200.3

[2] Dong Wei; Zhang Guohua; Zhuang Zhi; Sun Xinya; Yan Youwei; Yan Xiang; Jiang Lingming; Ji yindong. Intelligent fault detection method for high-speed railway turnout based on hybrid deep learning, 2023-08-22, China, ZL201811574962.2

[3] Dong Wei; Zhang Guohua; Zhuang Zhi; Sun Xinya; Yan Youwei; Yan Xiang; Jiang Lingming; Ji Yindong. Intelligent fault prediction method of high-speed railway turnout based on hybrid deep learning, 2023-8-18, China, ZL201811573642.5

[4] Dong Wei; Ma Yuxiang; Zhang Mengyu; Sun Xinya; Ji Yindong. Railway route planning method and device based on time expansion model, 2021-11-23, China, ZL201910544798.9

[5] Sun Xinya; Guo Lili; Dong Wei; Ji Yindong. Dynamic risk analysis and evaluation method of subway power supply system based on fuzzy reasoning, 2021-11-5, China, ZL201910164383.9

[6] Dong Wei; Ding Shige; Sun Xinya; Ji Yindong. Dynamic risk analysis method of escalator in rail transit hub based on characteristic quantity, 2020-12-11, China, ZL201910164413.6

[7] Dong Wei; Huang Wei; Sun Xinya; Ji Yindong. Safety assessment and enhancement method of urban rail transit network based on passenger flow distribution, 2020-11-24, China, ZL201910189940.2

[8] Zhang Guohua; Ma Mengbai; Dong Wei; Sun Xinya; Ji Yindong. A dynamic risk analysis method of high-speed railway catenary based on Bayesian network, 2020-11-3, China, ZL201910165009.0

[9] Dong Wei; Xu Jiaxiang; Zhang Qi; Liu Yanqiong; Li Zhiyu; Wang Zhixin; Ji Yindong. A verification method of track circuit simulation model based on hypothesis testing, 2016-8-17, China, ZL201310123576.2