CRC Press Stochastic Models in Reliability Engineering (Advanced Research in Reliability and System Assurance Engineering)

This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis,  experiments, and applied probability and statistics. Review "This book provides a good coverage of topics in the field of stochastic modelling in reliability engineering with pointers to more in-depth material. It is noteworthy that there are future research directions provided in most of the book chapters, which is a useful feature for readers who are looking for research problems in the area of reliability engineering. Academics, engineers and practitioners who are interested in modelling and analysis of data in reliability engineering will appreciate this book for covering a wide range of topics with practical engineering applications." - International Statistical Review (2021) About the Author Lirong Cui is a professor in the School of Management & Economics at Beijing Institute of Technology. He received his Ph.D. degree in Probability and Statistics from the University of Wales, UK, in 1994. He has worked on quality and reliability-related problems since 1986 and published more than 120 papers and technical reports. He has served as an associate editors for several journals. In 2005, he was awarded the New Century Excellent Talents in China. His recent research interests are in stochastic modeling, Hawkes processes, reliability engineering, optimization, operations research, and applications of probability and statistics in various fields. Ilia Frenkel, PhD, Researcher in the Center for Reliability and Risk Management, SCE - Shamoon College of Engineering, Beer Sheva, Israel He has obtained M.Sc. degree in Applied Mathematics from Voronezh State University, Russia, and PhD degree in Operational Research and Computer Science from Institute of Economy, Ukrainian Academy of Science, formerly USSR. He has more then 40 years of academic experience and teaching in Universities and Institutions of Russia and Israel. From 1988 till 1991 he worked as Department Chair and Associate Professor in the Applied Mathematics Department and at Computers Department, Volgograd Civil Engineering Institute, Russia .From 2001 he wes served as Senior Lecturer of the Industrial Engineering and Management Department and from 2005 as Chair of the Center for Reliability and Risk Management, SCE-Shamoon College of Engineering, Beer Sheva, Israel. In 2018 he was retired. He has specialized in applied statistics and reliability with application to preventive maintenance. He published two books and more than 50 scientific articles and book chapters in the fields of reliability, applied statistics and production and operation management. He is an Editor and a member of editorial board of scientific and professional journals . Anatoly Lisnianski, PhD, Expert-engineer in the Reliability Department of The Israel Electric Corporation Ltd., Israel Anatoly Lisnianski received hi