The advances and interdisciplinary integration of science and technology are making modern engineering and computing systems more and more complex. For modern systems (especially those in, e.g. wireless sensor networks, Internet of Things (IoT), smart power systems, space explorations, and cloud computing industries), dynamic behavior and dependence are typical characteristics of the systems or products. System load, operating conditions, stress levels, redundancy levels, and other operating environment parameters are variables of time, causing dynamic failure behavior of the system components as well as dynamic system reliability requirements. In addition, components of these systems often have significant interactions or dependencies in time or functions. Effects of these dynamic and dependent behaviors must be addressed for accurate system reliability modeling and analysis, which is crucial for verifying whether a system satisfies desired reliability requirements and...
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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