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E-raamat: Stochastic Models in Reliability Engineering [Taylor & Francis e-raamat]

Edited by (Beijing Institute of Technology, China), Edited by (SCE-Shamoon College of Engineering, Beer Sheva), Edited by (Dept. of Israel Electric Corp., Ltd.)
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"This volume is a selected of papers on stochastic models in system reliability, which are presented in the Third International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO-2019) held in Beijing, China, from May 28-31, 2019. 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. Presented real case studies include the redundant multi-state air conditioning systems for chemical laboratories, covers assessments of reliability and fault tolerance and availability calculations. Discusses conventional and contemporary topics in reliability engineering and includes degradation, networks and dynamic reliability, resilience and multi-state systems which are the relatively new topics to the field. Targeted to engineers and scientists, graduate and postgraduate students involved in reliability design, analysis and experiments and applied probability and statistics"--

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.

Preface ix
Editors xi
Contributors xiii
Chapter 1 Reliability Analysis of a Pseudo Working Markov Repairable System
1(18)
Bei Wu
Lirong Cui
Chapter 2 System Reliability Assessment with Multivariate Dependence Models
19(22)
Rong Pan
Guanqi Fang
Chapter 3 Reliability Modelling of Multi-Phased Linear Consecutively Connected Systems
41(8)
Kaiye Gao
Xiangbin Yan
Hui Xiao
Rui Peng
Chapter 4 A Method for Complex Multi-State Systems Reliability Analysis Based on Compression Inference Algorithm and Bayesian Network
49(18)
Xiaohu Zheng
Wen Yao
Yingchun Xu
Xiaoqian Chen
Chapter 5 Reliability Analysis of Demand-Based Warm Standby System with Multi-State Common Bus
67(14)
Yi Ding
Heping Jia
Rui Peng
Chapter 6 An Upside-Down Bathtub-Shaped Failure Rate Model Using a DUS Transformation of Lomax Distribution
81(20)
K.S. Deepthi
V.M. Chacko
Chapter 7 Reliability Analysis of Multi-State Systems with Dependent Failures Based on Copula
101(12)
Xujie Jia
Xueying Song
Gang Li
Chapter 8 Modelling and Inference for Special Types of Semi-Markov Processes
113(12)
Vlad Stefan Barbu
Alex Karagrigoriou
Andreas Makrides
Chapter 9 Weighted Multi-Attribute Acceptance Sampling Plans
125(10)
Xian Zhao
Congshan Wu
Leping Sun
Yu Fan
Chapter 10 Reliability Assessment for Systems Suffering Common Cause Failure Based on Bayesian Networks and Proportional Hazards Model
135(16)
Yan-Feng Li
Yang Liu
Hong-Zhong Huang
Tudi Huang
Jinhua Mi
Chapter 11 Early Warning Strategy of Sparse Failures for Highly Reliable Products Based on the Bayesian Method
151(12)
Shirong Zhou
Yincai Tang
Ancha Xu
Yongqiang Lian
Chapter 12 Fault Detection and Prognostics of Aero Engine by Sensor Data Analytics
163(20)
Haotian Liu
Xi Zhang
Chapter 13 Stochastic Modelling of Opportunistic Maintenance for Series Systems with Degrading Components
183(16)
Vasilis Koutras
Sonia Malefaki
Agapios N. Platis
Chapter 14 On Censored and Truncated Data in Survival Analysis and Reliability Models
199(14)
Catherine Huber
Valentin Solev
Filia Vonta
Chapter 15 Analysis of Node Resilience Measures for Network Systems
213(14)
Chao Zhang
Xin Xu
Hongyan Dui
Chapter 16 Reliability Analysis of General Purpose Parts for Special Vehicles Based on Durability Testing Technology
227(18)
Guang-Jun Jiang
Nan Zhang
Qing-Chao Zhang
Ying Wang
Chapter 17 State of Health Prognostics of Lithium-Ion Batteries
245(18)
Huixing Meng
Yan-Fu Li
Chapter 18 Life Prediction of Device Based on Material's Micro-Structure Evolution by Means of Computational Materials Science
263(18)
Chunyu Teng
Cong Lin
Zhanyong Ren
Yun Fu
Xichang Wang
Chapter 19 Low-Cycle Fatigue Damage Assessment of Turbine Blades Using a Substructure-Based Reliability Approach
281(36)
Haifeng Gao
Enrico Zio
Anjenq Wang
Guangchen Bai
Chapter 20 Phased-Mission Modelling of Physical Layer Reliability for Smart Homes
317(14)
Liudong Xing
Guilin Zhao
Yisha Xiang
Chapter 21 Comparative Reliability Analysis of Different Traction Drive Topologies for a Search-and-Rescue Helicopter
331(24)
Igor Bolvashenkov
Jorg Kammermann
Zeng Wenbin
Ilia Frenkel
Hans-Georg Herzog
Chapter 22 Reliability and Fault Tolerance Assessment of Different Operation Modes of Air Conditioning Systems for Chemical Laboratories
355(18)
Lev Khvatskin
Ilia Frenkel
Anatoly Lisnianski
Chapter 23 Dependability Analysis of Ship Propulsion Systems
373(18)
Thomas Markopoulos
Agapios N. Platis
Chapter 24 Application of Markov Reward Processes to Reliability, Safety, Performance Analysis of Multi-State Systems with Internal and External Testing
391(16)
Valentino S. Viktorova
Nikolay V. Lubkov
Armen S. Stepanyants
Chapter 25 Multi-Objective Maintenance Optimization of Complex Systems Based on Redundancy-Cost Importance
407(12)
Chenyang Ma
Wei Wang
Zhiqiang Cai
Chapter 26 Which Replacement Maintenance Policy Is Better for Multi-State Systems?: Policy T or Policy N?
419(12)
Wenjie Dong
Sifeng Liu
Suk Joo Bae
Chapter 27 Design of Multi-Stress Accelerated Life Testing Plans Based on D-Optimal Experimental Design
431(12)
Xiangxiang Zhang
Jun Yang
Xuefeng Kong
Chapter 28 An Extended Optimal Replacement Policy for a Simple Repairable Modelling
443(18)
Junyuan Wang
Jimin Ye
Ning Ma
Index 461
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.