Hao Ye

Yang, E. (Host)

Activity: Hosting a visitor typesHosting an academic visitor


Title: Advanced Signal Processing and Data-Driven Techniques in Industrial Fault Diagnosis and Process MonitoringProf. Hao Ye, Tsinghua University, ChinaDate: Thursday, 14 April 2016 Time: 13:00-14:00Venue: Conference Room JW707, James Weir Building, 75 Montrose Street, Glasgow G1 1XJ AbstractThis presentation first gives an overview of the University, Department, and the latest work in Prof Ye’s research group on fault diagnosis and process monitoring. Then it introduces some of his research on applying signal processing and data-driven techniques/methods in industrial fault diagnosis and process monitoring to several important industrial applications, including the leak detection and localization of long distance pipelines, process monitoring of iron-making in a blast furnace, and fault diagnosis of track circuit for high-speed railways, etc.BiographyDr. Hao Ye is a full Professor, Director of the Institute of Process Control Engineering, and Director of Rail Transit Control Technology R&D Center, Research Institute of Information Technology, Tsinghua University (http://www.tsinghua.edu.cn/). He is also the general secretary of Fault Diagnosis Committee in the Chinese Association of Automation.His research interest lies in the field of fault diagnosis of dynamic systems. He has published over 100 peer-reviewed conference and journal papers, and received the 2nd Prize of National Natural Science Award of China in 2012.Selected Publications:[1] Hao Wu, Wei Wang, Hao Ye, Zidong Wang, State estimation for Markovian jump linear systems with bounded disturbances. Automatica (Regular paper), 49(11), pp3292–3303, 2013.[2] Hao Wu, Wei Wang, Hao Ye, Model reduction based set-membership filtering with linear state equality constraints. IEEE Transactions on Aerospace and Electronic Systems, 49(2), pp 1391-1399, 2013[3] Yiming Wan, Hao Ye, Data-driven diagnosis of sensor precision degradation in the presence of control, Journal of Process Control, 22(1), pp 26-40, 2012[4] Yongqiang Wang, Hao Ye, S.X. Ding, Guizeng Wang, Donghua Zhou, Residual generation and evaluation of networked control systems subject to random packet dropout,Automatica, 45(10), pp2427-2434, 2009[5] Yue Cheng, Hao Ye, Yongqiang Wang, Donghua Zhou, Unbiased minimum-variance state estimation for linear systems with unknown input, Automatica, 45(2), pp 485-491, 2009[6] Yongqiang Wang, Steven X. Ding, Hao Ye, Guizeng Wang,A new fault detection scheme for networked control systems subject to uncertain time-varying delay,IEEE Transactions on Signal Processing(Regular paper), 56(10), pp 5258-5268, 2008[7] Maiying Zhong, Hao Ye, Steven X Ding, Guizeng Wang,Observer-based fast rate fault detection for a class of multirate sampled-data systems,IEEE Transactions on Automatic Control, 52(3), pp 520-525, 2007[8] Huajing Fang, Hao Ye, Maiying Zhong,Fault diagnosis of networked control systems,Annual Reviews in Control, 31(1), pp 55-68, 2007[9] Hao Ye, Guizeng Wang, Steven X Ding,A New parity space approach for fault detection based on stationary wavelet transform,IEEE Transactions on Automatic Control, 49(2), pp 281-287,2004[10] Hao Ye, Steven X Ding, Guizeng Wang,Integrated design of fault detection systems in time-frequency domain,IEEE Transactions on Automatic Control, 47(2), pp 384-390, 2002
Period13 Apr 201616 Apr 2016
Visiting fromTsinghua University (China)