Book Image

Dynamic System Reliability

By : Liudong Xing, Gregory Levitin, Chaonan Wang
Book Image

Dynamic System Reliability

By: Liudong Xing, Gregory Levitin, Chaonan Wang

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)
Free Chapter
1 Introduction
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10.7 Summary

Components in standby sparing systems, particularly in cold and warm standby sparing systems, exhibit dynamic failure behaviors. In this chapter, four different methods were presented to address these dynamic component failure behaviors in system reliability modeling and analysis, including the CTMC‐based method, the SBDD‐based method, the approximation method based on the CLT, and the event transition‐based method. The methods presented assume the standby sparing system has a perfect switching mechanism. Refer to [33] for an extension of the event transition method for addressing imperfect fault detection and switching mechanisms.

Monte Carlo simulations [79], Bayesian networks [80], and universal generating function‐based techniques [20] have also been proposed for the reliability analysis of standby sparing systems. Interested readers may refer to the relevant references for details of these methods.