Reliability Modelling and Optimization of Warm Standby Systems

1. Front Matter

   Pages i-xii

   PDF

2. Introduction

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 1-13

3. Related Concepts in Reliability Modeling of Warm Standby Systems

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 15-28

4. Reliability of \({\varvec{k}}\)-Out-Of-\({\varvec{n}}\) Warm Standby Systems

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 29-38

5. Reliability of Demand-Based Warm Standby Systems

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 39-57

6. Reliability of Warm Standby Systems with Imperfect Fault Coverage and Switching Failure

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 59-78

7. Optimal Working Sequence in a 1-Out-Of-N Warm Standby System

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 79-95

8. Reliability Evaluation for Demand-Based Warm Standby Systems Considering Degradation Process

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 97-121

9. Reliability of Demand-Based Warm Standby System with Common Bus Performance Sharing

   • Rui Peng, Qingqing Zhai, Jun Yang

   Pages 123-143

10. Reliability of Warm Standby Systems with Phased-Mission Requirement

    • Rui Peng, Qingqing Zhai, Jun Yang

    Pages 145-159

11. Reliability of Warm Standby Systems with Complex Structure

    • Rui Peng, Qingqing Zhai, Jun Yang

    Pages 161-166

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.

• Warm Standby
• Reliability
• Decision Diagram
• Optimization
• Imperfect Fault Coverage

• School of Economics and Management, Beijing University of Technology, Beijing, China

  Rui Peng

• School of Management, Shanghai University, Shanghai, China

  Qingqing Zhai

• School of Reliability and Systems Engineering, Beihang University, Beijing, China

  Jun Yang

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.

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