Many products are designed with high reliability and have complex structures, such as commercial airplanes, automobile, etc. The traditional time-based reliability method are inapplicable to these cases as collecting failure data is extremely difficult. In recent decades, various types of degradation models have been introduced to model deteriorating behaviors of engineered systems, so as to facilitate reliability assessment and remaining useful life prediction. This session will present the recent advances in degradation modeling and reliability assessment.
University of Electronic Science and Technology of China, China
Yu Liu is a Professor in the School of Mechanical, Electronic, and Industrial Engineering, at the University of Electronic Science and Technology of China. He received his PhD degree in Mechatronics Engineering from the University of Electronic Science and Technology of China in 2010. He was a Visiting Pre-doctoral Fellow in the Department of Mechanical Engineering at Northwestern University, Evanston, U.S.A. from 2008 to 2010, and a Postdoctoral Research Fellow in the Department of Mechanical Engineering, at the University of Alberta, Edmonton, Canada from 2012 to 2013. He has published over 50 peer-reviewed papers in international journals and conferences. His research interests include system reliability modeling and analysis, maintenance decisions, prognostics and health management, and design under uncertainty.
Chaoyang Xie is an associate research fellow in Institute of Systems Engineering, China Academy of Engineering Physics. He received the Ph.D degree in mechatronic engineering from University of Electronic Science and Technology of China in 2017. His research interests include degradation modeling and Physics of Failure.
Zhihua Wang is currently an associate professor in the School of Aeronautics Sciences and Engineering in Beihang University. She received her B.S. degree in mechanical engineering from Dalian University of Technology, Dalian, China and her Ph.D degree in mechanical engineering from Beihang University, Beijing China. Her research interests include small sample reliability engineering, degradation reliability analysis and individual online condition monitoring.
Chao Zhang is an assistant professor at School of Automation Science and Electrical Engineering, Beihang University. He received his B.S. degree and Ph.D. degree in mechatronics from Beihang University. His research interests focus on accelerated life testing, fault diagnosis and prognostics of hydraulic components and systems.