Reliability Modelling and Optimization of Warm Standby Systems
1st Edition
Published on 2. May 2021
XII, 166 pages
978-981-16-1792-8 (ISBN)
Description
This book introduces the reliability modelling and optimization of warm standby systems. Warm standby is an attractive redundancy technique, as it consumes less energy than hot standby and switches into the active state faster than cold standby. Since a warm standby component experiences different failure rates in the standby state and active state, the reliability evaluation is challenging and the existing works are only restricted to very special cases. By adapting the decision diagrams, this book proposes the methodology to evaluate the reliability of different types of warm standby systems and studies the reliability optimization. Compared with existing works, the proposed methods allow the system to have an arbitrary number of components and allow the failure time distribution of components to observe arbitrary distributions. From this book, the readers can not only learn how to evaluate and optimize the reliability of warm standby systems but also use the methods to study the reliability of other complex systems.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XII, 166 p. 76 illus., 20 illus. in color.
File size
5,22 MB
ISBN-13
978-981-16-1792-8 (9789811617928)
DOI
10.1007/978-981-16-1792-8
Schweitzer Classification
Other editions
Additional editions
Rui Peng | Qingqing Zhai | Jun Yang
Reliability Modelling and Optimization of Warm Standby Systems
Book
05/2021
Springer
€106.99
Shipment within 3-4 weeks
Persons
Rui PENG is a Ph.D supervisor in School of Economics & Management, Beijing University of Technology. His research interests include system reliability, maintenance and defence. He has published more than 90 SCI-indexed journal papers in renowned journals, such as IIE Transactions, IEEE Transactions on Reliability, Reliability Engineering & System Safety. He is an IEEE senior member, an editorial board member of Reliability Engineering & System Safety, a highly cited Chinese Scholar recognized by Elsevier, and selected into the Beijing Nova Program of Science & Technology.
Qingqing Zhai is an Assistant Professor in School of Management, Shanghai University. His research interests include system reliability modeling and residual life estimation. He has published more than 20 journal papers in renowned journals such as Risk Analysis, European Journal of Operational Research, etc.
Jun Yang is a professor in School of Reliability and System Engineering, Beihang University. His research interests include system reliability, system residual life estimation and system maintenance. He has published more than 60 journal papers and led quite a few NSFC projects.
Content
Introduction.- Related concepts in reliability modeling of warm standby systems.- Reliability of -out-of- warm standby systems.- Reliability of demand-based warm standby systems.- Reliability of warm standby systems with imperfect fault coverage and switching failure.- Optimal working sequence in a 1-out-of-n warm standby system.- Reliability Evaluation for Demand-based Warm Standby Systems Considering Degradation Process.- Reliability of demand-based warm standby system with common bus performance sharing.- Reliability of Warm Standby Systems with Phased-Mission Requirement.- Reliability of warm standby systems with complex structure.
