Standby sparing is a technique in which one or several components are online and operating with some redundant components serving as standby spares [1,2]. When an online component malfunctions, an available standby component is activated to replace the failed online component and take over the mission task so the entire system can continue to function correctly. The standby sparing technique has been applied in many industries to achieve fault‐tolerance and high system reliability or availability. Examples of applications include power systems [3–5], storage systems , high‐performance computing systems , distributed systems , and telecommunication systems [9,10]. The standby sparing technique is especially crucial for communication and computer systems used in mission‐ or life‐critical applications, e.g. flight control [ 1 ,11] and space missions [12,13] where maintaining or replacing a malfunctioned component through...
Dynamic System Reliability
Dynamic System Reliability
Overview of this book
This book focuses on hot issues of dynamic system reliability, systematically introducing the reliability modeling and analysis methods for systems with imperfect fault coverage, systems with function dependence, systems subject to deterministic or probabilistic common-cause failures, systems subject to deterministic or probabilistic competing failures, and dynamic standby sparing systems. It presents recent developments of such extensions involving reliability modeling theory, reliability evaluation methods, and features numerous case studies based on real-world examples. The presented dynamic reliability theory can enable a more accurate representation of actual complex system behavior, thus more effectively guiding the reliable design of real-world critical systems. The book begins by describing the evolution from the traditional static reliability theory to the dynamic system reliability theory and provides a detailed investigation of dynamic and dependent behaviors in subsequent chapters. Although written for those with a background in basic probability theory and stochastic processes, the book includes a chapter reviewing the fundamentals that readers need to know in order to understand the contents of other chapters that cover advanced topics in reliability theory and case studies.
Table of Contents (14 chapters)
2 Fundamental Reliability Theory
3 Imperfect Fault Coverage
4 Modular Imperfect Coverage
5 Functional Dependence
6 Deterministic Common‐Cause Failure
7 Probabilistic Common‐Cause Failure
8 Deterministic Competing Failure
9 Probabilistic Competing Failure
10 Dynamic Standby Sparing
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