Stochastic Models in Reliability Engineering: 1st Edition (Hardback) book cover

Stochastic Models in Reliability Engineering

1st Edition

Edited by Lirong Cui, Ilia Frenkel, Anatoly Lisnianski

CRC Press

448 pages | 177 B/W Illus.

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Hardback: 9780367345853
pub: 2020-07-30
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This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working on the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, which have seen extended research activates in the recent years.

Methods presented in this book are real-world examples developed and demonstrating essential reliability and availability improvement for such industrial equipment as medical magnetic resonance inspection (MRI), 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, covers assessments of reliability and fault tolerance and availability calculations. Goes on to discuss conventional and contemporary topics in reliability engineering and includes degradation, networks and dynamic reliability, resilience and multi-state systems which are relatively new topics to the field. 

The book is targeted to engineers and scientists, graduate and postgraduate students involved in reliability design, analysis and experiments, and applied probability and statistics.

Table of Contents

Introduction. Part 1: Degradation Models. 1. A Study of Two-Phase Degradation Models under Hybrid Stochastic Processes with a Change Point. 2. Reliability Analysis of a Degradation System under Uncertain Random Environment. Part 2: Dynamic Reliability Models. 3. Nonlinear Dynamic Behavior of Slider-Crank Mechanism with Three-Dimension Revolute Joint Considering Wear-Involved Clearance. 4. Acceptance Sampling Plans for Products with Multiple Reliability Attributes. 5. Dynamic Reliability Assessment for Discrete Time Redundant Systems under Multiple Working Conditions. Part 3: Maintenance Models. 6. Two-Dimensional Warranty Cost Analysis for Complex Multi-Component Product Considering Imperfect Preventive Maintenance. 7. Maintenance Optimization of Reconfigurable System Based on Non-Dominated Sorting Genetic Algorithm. 8. Which Maintenance Policy is Better for Multi-State Degradation Systems: Policy T or Policy N? Part 4: Multi-State Systems Reliability. 9. A Method for Complex Multi-State Systems Reliability Analysis Based on Compression Inference Algorithm and Bayesian Network. 10. Mission-Availability Evaluation and Design Optimization of Multi-State K-out-of N Systems with Random Weight Threshold. 11. Reliability Modeling of Mulit-Phased Linear Consecutively Connected System. 12. Multi-State Reliability Modeling of Phased-Mission K-out-of N Systems. 13. Reliability and Fault Tolerance Assessment of the Redundant Multi-State Air Conditioning System for Chemical Laboratories. Part 5:Network Reliability Models. 14. The System Reliability of the Mobile Communication Network. 15. Topology-Based Resilience Measure in Network Systems. Part 6: Reliability Decision Making. 16. Combining MCDM with Data Streams Clustering in Equipment Health State Evaluation. 17. System Reliability Assessment with Multivariate Dependence Models. Part 7: Industrial Reliability Models. 18. Reliability of Smart Grid Systems with Warm Standby Spares and Imperfect Coverage. 19. Reliability Assessment of Microelectronic Devices using a Physics-of-Failure-Based Copula Approach. 20.Research on Fault Feature Extraction of Rolling Bearing Based on DEMD and Teager Energy Operation. 21. Multi-Mechanism Failure Probability Distribution Fusion for Semiconductor Devices Based on Maximum Entropy Theory. 22. Design and Discussion on Durability Test Conditions of Special Vehicles. 23. Comparative Reliability Analysis of Different Traction Drive Topologies for a Search-and-Rescue Helicopter. Part 8: Reliability Statistics. 24. Design of Multi-Stress Accelerated Life Testing Plans Based on D-Optional Experimental Design. 25. Early Warning Strategy of Sparse Failures for High Reliable Products Based on Bayesian Methods.

About the Editors

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 his M.Sc. degree in Electrical Engineering from the University of Information Technologies, Precision Mechanics and Optics, Sankt-Petersburg, Russia; and Ph.D. degree in Reliability in 1984 from Federal Scientific and Production Center ‘‘Aurora’’ in Sankt-Petersburg. From 1975 through 1989, he was a researcher at this center. Starting in 1991 he is working in the Reliability Department of the Israel Electric Corporation as an engineering expert. He is specialized in reliability assessment and optimization for complex technical systems. From 2005 he wes served as Scientific Supervisor of the Center for Reliability and Risk Management, SCE-Shamoon College of Engineering, Beer Sheva, Israel. He is the author and co-author of more than 120 journal papers, three books, some book chapters, and inventions in the field of reliability and applied statistics. He is a senior member of IEEE and a member of Israel Statistical Association.

About the Series

Advanced Research in Reliability and System Assurance Engineering

The aim of this new book series is to publish the research studies and articles that bring up the latest development and research of reliability and system assurance engineering areas. Reliability analysis and system assurance engineering are the strength of engineering sciences. Reliability analysis and system assurance engineering forms the common foundation of all novel disciplines as engineering evolves and develops. The series will include a comprehensive range of topics such as reliability-centered maintenance; risk-informed asset management; safety-critical system performance; system safety; system security; assurance techniques for service-oriented systems; business models; fault tolerant system design; high assurance embedded systems; high assurance software architecture and design; maintenance strategies, etc. 

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Quality Control
MATHEMATICS / Probability & Statistics / Stochastic Processes
TECHNOLOGY & ENGINEERING / Engineering (General)
TECHNOLOGY & ENGINEERING / Industrial Engineering