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报告题目:Digital Twin – The Convergence of Intelligence

人:Zheng LiuUniversity of British Columbia – Okanagan, Canada.





The presentation will review the technical trends, opportunities, and challenges for industrial predictive maintenance. Given the growing needs from the MRO (maintenance, repair, and overhaul), it becomes possible to implement the low-cost and high-efficient maintenance with the disruptive technologies, i.e., digital twin. However, to tackle the challenges for achieving the predictive maintenance needs a close collaboration across multiple disciplines, including structural, material, electrical, mechanical, and software engineering. Moreover, the information and communication technology (ICT), especially the advanced data analytics, is critical and essential to ensure the achievement of this objective. The presentation will also highlight the evolution of non-destructive testing techniques as well as the role of data and information fusion for the implementation of predictive maintenance.


Zheng Liu received the Doctorate degree in engineering (earth resources) from Kyoto University, Kyoto, Japan, in 2000, and the Ph.D. degree (electrical engineering) from the University of Ottawa, Canada, in 2007. From 2000 to 2001, he was a Research Fellow with the Nanyang Technological University, Singapore. He then joined the National Research Council of Canada (Ottawa, Ontario) as a Governmental Laboratory Visiting Fellow nominated by NSERC in 2001. From 2002, he became a Research Officer associated two research institutes of NRC (Aerospace [IAR] & Construction [IRC]). From 2012 to 2015, he worked as a full Professor with Toyota Technological Institute, Nagoya, Japan. He is now with the Faculty of Applied Science at the University of British Columbia – Okanagan as an associate professor. His research interests include predictive maintenance, data/information fusion, computer/machine vision, machine learning, smart sensor and industrial IoT, and non-destructive inspection and evaluation. He is a senior member of IEEE and SPIE. He is co-chairing the IEEE Instrumentation and Measurement Society technical committee (TC-1). He holds a Professional Engineer license in both British Columbia and Ontario. Dr. Liu serves on the editorial boards for journals including IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Mechatronics, IEEE Journal of RFID, Information Fusion (Elsevier), Machine Vision and Applications (Springer), Canadian Journal of Electrical and Computer Engineering, Intelligent Industrial Systems (Springer), and IET/CAAI Transactions on Intelligence Technology. He also serves the Standards & Interoperability Committee of the Research Data Canada