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
End User License Agreement

7.4 Summary

PCCFs may contribute significantly to the overall system failure and thus the system unreliability. This chapter discusses the reliability modeling of PCCFs in single‐phase systems and multi‐phase systems, where the occurrence of a root cause results in failures of multiple system components with different probabilities. Explicit and implicit methodologies of evaluating system unreliability are presented. The explicit method requires expanding the system reliability model to explicitly consider effects of PCCFs. It involves a straightforward two‐step procedure. However, the explicit method can become computationally expensive for large‐scale systems. The implicit method requires no expansion on the system reliability model and allows parallel evaluation of independent subproblems. The implicit method has lower requirements in both space and time than the explicit method. Both methods are applicable to arbitrary types of component ttf distributions...