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Multistate System Reliability with Dependencies - Blokus

Multistate System Reliability with Dependencies

By: Blokus

Paperback | 30 March 2020 | Edition Number 1

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Multistate System Reliability with Dependencies explains how to select a model of load sharing that best describes the impact of changes in the reliability states of components and the system as a whole. This is mainly achieved via a generalization of two-state system reliability analysis, where equal load sharing and local load sharing rules are commonly used.

Taking into account the growing relevance of this subject to readers with a range of backgrounds, the detailed introductory material covers basic concepts of traditional reliability theory such as the concept of probability, failures, series and parallel systems, k-out-of-n systems, and more. This book features cutting edge theorems on the reliability analysis of multistate systems which take into account the dependence of their component degradation and the dependencies between their subsystems and between components in these subsystems, as well as the results of their applications to systems with complex structures. Other important themes addressed include renewable systems, and the availability analysis of multistate systems, which also has wide applications in the analysis of real technical systems. Combining the results of the reliability analysis of multistate systems with dependent components and the results of the classical renewal theory, the availability analysis of multistate systems under the assumption of imperfect renovation is also provided.

  • Makes an ideal entry point to this subject by providing a thorough introduction to and review of recent research developments across the fields of multistate systems and systems with component dependencies
  • Comprehensively addresses various manifestations of the load sharing system at component level, component level and system level, and provides models to describe them
  • Explains in practical terms how to evaluate the reliability and risk of systems with load-sharing effects

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