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Reliability Modelling and Optimization of Warm Standby Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reliability Modelling and Optimization of Warm Standby Systems/ by Rui Peng, Qingqing Zhai, Jun Yang.
作者:	Peng, Rui.
其他作者:	Yang, Jun.
面頁冊數:	XII, 166 p. 76 illus., 20 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical Modeling and Industrial Mathematics. -
電子資源:	https://doi.org/10.1007/978-981-16-1792-8
ISBN:	9789811617928

Reliability Modelling and Optimization of Warm Standby Systems
Peng, Rui.

Reliability Modelling and Optimization of Warm Standby Systems[electronic resource] /by Rui Peng, Qingqing Zhai, Jun Yang. - 1st ed. 2021. - XII, 166 p. 76 illus., 20 illus. in color.online resource.

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.

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.

ISBN: 9789811617928

Standard No.: 10.1007/978-981-16-1792-8doiSubjects--Topical Terms:

669172
Mathematical Modeling and Industrial Mathematics.

LC Class. No.: T55.4-60.8

Dewey Class. No.: 670

Reliability Modelling and Optimization of Warm Standby Systems
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505 0 $a 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.
520 $a 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.
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