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Reliability Modelling and Optimization of Warm Standby Systems

BuchGebunden
166 Seiten
Englisch
Springererschienen am03.05.20211st ed. 2021
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.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-981-16-1791-1
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum03.05.2021
Auflage1st ed. 2021
Seiten166 Seiten
SpracheEnglisch
IllustrationenXII, 166 p. 76 illus., 20 illus. in color.
Artikel-Nr.58039516

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

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.