美国罗格斯新泽西州立大学教授讲座

Reliability Modeling and Optimization for Systems of Degrading Components

主讲人 : Prof. David W. Coit

New system reliability models and analysis tools are being developed to aid in the successful development and commercialization of certain novel and evolving technologies. System reliability analyses, involving multiple failure processes, are important and challenging research topics, particularly when failure processes, such as degradation processes and random shocks, are competing and dependent. When component degradation models are extended to complex systems with multiple components, different perspectives of dependency should be considered in system reliability modelling. In this research, potential dependence patterns are investigated among multiple failure processes within and among components in systems and probabilistic models are developed to assess system reliability performance. For the reliability modeling of complex systems, if one component in the system degrades or fails prematurely, it is possible that other components will also degrade or fail prematurely given the shared working environment, which means component failure times are dependent. Existing system reliability models are extended to perform quantitative analyses for system reliability considering that the damages to the two failure processes caused by shocks are dependent. The research is organized into several scenarios, i.e., dependent failure processes are considered in different ways. Stochastically dependent component degradation processes are also studied, and extended gamma process models are used to model the dependent degradation process.  d on these new reliability models, different maintenance policies are derived to provide cost effective maintenance plans.

 

---

主讲人简介：

David Coit is a professor in department of Industrial and Systems Engineering at Rutgers. His research interests are in the areas of system reliability modeling and optimization, power systems reliability, and multiple- ive optimization. He has been funded for his research from the NSF, U.S. Navy, U.S. Army, power utilities and industry. He is a senior member of Institute of Industrial Engineers (IIE), a member of Institute of Operations Research and Management Sciences (INFORMS), and an editor of IIE Transactions on Quality and Reliability Engineering, of Reliability Engineering and System Safety and Journal of Risk & Reliability. He get his bachelor degree from Cornell University, MBA from Renssalear Polytechnic Institute, master degree and Ph.D degree from University of Pittsburgh. He also previously worked for more than ten years at IIT Research Institute (IITRI), Rome, NY (now called Alion Science and Technology) where he designed and implemented reliability programs, developed reliability prediction models and conducted reliability analyses. Prof. Coit has received recognition for his research. In 1999, he was awarded an NSF CAREER grant to research system reliability design optimization with incomplete or uncertain component reliability estimation. In 2001, he was awarded the P.K McElroy award for best paper at the annual Reliability and Maintainability Symposium (RAMS) conference. In 2003, he was awarded the A. J. Golomski award for the best paper at RAMS by an IIE member, and in 2009, he was awarded the A. O. Plait award for the best tutorial at RAMS.