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Reliability Modelling and Optimization of Warm Standby Systems (Paperback, 1st ed. 2021) Loot Price: R2,921
Discovery Miles 29 210
Reliability Modelling and Optimization of Warm Standby Systems (Paperback, 1st ed. 2021): Rui Peng, Qingqing Zhai, Jun Yang

Reliability Modelling and Optimization of Warm Standby Systems (Paperback, 1st ed. 2021)

Rui Peng, Qingqing Zhai, Jun Yang; Translated by Rui Peng, Qingqing Zhai, Jun Yang, Heping Jia

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Loot Price R2,921 Discovery Miles 29 210 | Repayment Terms: R274 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: May 2022
First published: 2021
Authors: Rui Peng • Qingqing Zhai • Jun Yang
Translators: Rui Peng • Qingqing Zhai • Jun Yang • Heping Jia
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 166
Edition: 1st ed. 2021
ISBN-13: 978-981-16-1794-2
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN: 981-16-1794-5
Barcode: 9789811617942

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