Stochastic Models in Reliability Engineering Hardback
Edited by Lirong (Beijing Institute of Technology, China) Cui, Ilia (SCE-Shamoon College of Engineering, Beer Sheva) Frenkel, Anatoly (Dept. of Israel Electric Corp., Ltd.) Lisnianski
Part of the Advanced Research in Reliability and System Assurance Engineering series
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.
- Format: Hardback
- Pages: 464 pages, 81 Tables, black and white; 177 Illustrations, black and white
- Publisher: Taylor & Francis Ltd
- Publication Date: 30/07/2020
- Category: Production & quality control management
- ISBN: 9780367345853