Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors

When a system’s operating conditions change—or one component’s failure affects another—a static reliability model may miss what matters. Dynamic System Reliability focuses on the methods engineers and researchers use to represent those changing conditions and dependencies more faithfully.

Liudong Xing, Gregory Levitin, and Chaonan Wang begin with essential reliability theory, then move into advanced modeling methods and case studies. The result is a technical reference for readers who need to analyze how complex systems behave over time, across operating phases, and under interacting failure events.

From reliability fundamentals to dynamic models

The opening chapter reviews probability, reliability measures, fault-tree modeling, binary decision diagrams, and Markov processes. This foundation leads into the book’s central subject: extending reliability analysis to account for dynamic behavior and dependence between components.

Failure coverage, dependence, and shared causes

Dedicated chapters address imperfect fault coverage and functional dependence, followed by deterministic and probabilistic common-cause failures. The authors also examine deterministic and probabilistic competing failures, where different failure mechanisms can interact. These topics matter when a system’s reliability depends on more than the individual failure probabilities of its parts.

Methods for complex systems

The contents include fault trees, decision-diagram approaches, Markov and continuous-time Markov models, combinatorial algorithms, and universal generating functions. Illustrative examples and case studies accompany the methods, giving readers a way to see how different analytical approaches are applied to reliability problems.

Standby systems and phased missions

The final chapter turns to dynamic standby sparing, including cold and warm standby systems. Elsewhere, the book considers multi-state and multi-phase, or phased-mission, systems—settings in which system behavior or requirements may change during operation.

For reliability practitioners and researchers

The book is aimed at engineers, researchers, and advanced students in reliability and related disciplines. A background in basic probability and stochastic processes is expected; the early review of reliability fundamentals helps establish the concepts used in the more advanced chapters.

For readers working beyond static reliability assumptions, this book brings together modeling approaches for dependencies, changing system states, and interacting failures in one carefully organized technical reference.