Reliability Modelling and Optimization of Warm Standby Systems - Softcover

Peng, Rui; Zhai, Qingqing; Yang, Jun

 
9789811617942: Reliability Modelling and Optimization of Warm Standby Systems
Softcover
ISBN 10: 9811617945 ISBN 13: 9789811617942
Publisher: Springer, 2022

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2022
Language
English
ISBN 10 
9811617945
ISBN 13 
9789811617942
Binding
Paperback
Edition number
1
Number of pages
178

Other Popular Editions of the Same Title

9789811617911: Reliability Modelling and Optimization of Warm Standby Systems

Featured Edition

ISBN 10:  9811617910 ISBN 13:  9789811617911
Publisher: Springer, 2021
Hardcover