Computational methods for reliability and risk analysis
著者
書誌事項
Computational methods for reliability and risk analysis
（Series on quality, reliability, and engineering statistics, v. 14）
World Scientific, c2009
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注記
Includes bibliographical references: p.335-338
内容説明・目次
内容説明
This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.
目次
- Markov Reliability and Availability Analysis
- Monte Carlo Simulations for Reliability and Availability Analysis
- Markov Chain Monte Carlo for Applications to Reliability and Availability Analysis
- Basics of Genetic Algorithms with Application to System Reliability and Availability Optimization
- Dependent Failures
- Importance Measures
- Basic Concepts of Uncertainty and Sensitivity Analysis.
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