It has been well known that the accuracy and efficiency of
reliability analysis and the subsequence decisions can be significantly improved
using degradation data instead of pure 0-1 failure data. However, the
complicated mechanism governing the degradation presents challenges for
degradation modelling. In addition, how to make use of the results from
degradation analysis for reliability-centered decision making is still under
explored. In this session, we gather some active researchers on degradation
analysis to share their recent progress on degradation modelling and
degradation-based decision making, including remaining useful life prediction
and mission abort decision.
Lijuan Shen is
currently a research coordinator at the Future Resilient Systems in
Singapore-ETH Centre. She received a B.S. degree in Information and Computing
Science from Beijing Jiaotong University and a Ph.D. degree in Systems
Engineering from Beihang University, Beijing, China. She has published in
peer-reviewed journals including Reliability Engineering & System Safety,
IEEE Transactions on Reliability, Journal of Quality Technology, IIE
Transactions, Quality and Reliability Engineering International, etc.
Her main research interests include resilience
analysis and assessment of infrastructure systems, reliability modeling,
analysis and assessment, statistical modeling and data analytics.
申丽娟，苏黎世联邦理工学院新加坡中心研究员，于北京交通大学（信息与计算科学专业）获得学士学位，北京航空航天大学（系统工程专业）获得博士学位。她在Reliability Engineering & System Safety, IEEE Transactions on Reliability, Journal of Quality Technology, IIE Transactions, Quality and Reliability Engineering International 等国际期刊上发表多篇论文。她的主要研究兴趣包括系统弹性分析与评价，可靠性建模、分析与评价，统计模型和数据分析。 (Email: firstname.lastname@example.org)
Qingqing Zhai is
an Associate Professor in the School of Management, Shanghai University. He
received his Ph.D. degree in Systems Engineering from Beihang University in
2015. He was a research fellow in the Department of Industrial Systems
Engineering and Management, National University of Singapore from 2015 to 2017.
His main research interests include statistical degradation modeling,
probabilistic reliability modeling and game theories in reliability. He has
published over 30 papers in leading journals, such as IEEE Transactions on
Reliability, Reliability Engineering & System Safety, IEEE Transactions on
Industrial Informatics, Technometrics, IISE Transactions, and European Journal
of Operational Research.
翟庆庆，上海大学管理学院副教授，2015年于北京航空航天大学（系统工程专业）获得博士学位。2015年至2017年，在新加坡国立大学工业系统工程与管理系担任research fellow. 他的主要研究兴趣包括统计退化模型，概率可靠性模型和博弈论。他在国际期刊上发表论文30多篇，例如IEEE Transactions on Reliability, Reliability Engineering & System Safety, IEEE Transactions on Industrial Informatics, Technometrics, IISE Transactions 和European Journal of Operational Research.
If you are interested in the special session, please submit
your paper or abstract here
For any questions, please mail the organizer or conference secretary email@example.com.
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