This session discusses recent advances of data-driven
methodologies used for repairable or non-repairable system modeling. The session
uses applications on lifetime data analysis, maintenance optimization, warranty
pricing, and remaining useful life estimation to illustrate these
Related topics:Survival analysis, warranty, degradation, maintenance
Qiuzhuang Sun received the joint B.E. degree in industrial engineering and in computer science from Shanghai Jiao Tong University in 2015, and the Ph.D. degree in industrial and systems engineering from the National University of Singapore in 2019. He is currently a Research Fellow with the Department of Industrial Systems Engineering and Management, National University of Singapore. He will join the School of Mathematics and Statistics, University of Sydney as a Lecturer (Assistant Professor) this year. His research interests include maintenance modeling, degradation analysis, and data-driven optimization. (Mail: firstname.lastname@example.org)
Shixiong Wang received the B.Eng. degree in detection, guidance, and control technology and the M.Eng. degree in systems and control engineering from Northwestern Polytechnical University in 2016 and 2018, respectively. He is expected to obtain the Ph.D. degree in Industrial Systems Engineering and Management from National University of Singapore in 2022. His research interests include statistics and optimization theories with applications in signal processing (especially optimal estimation theory) and control technology.
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