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Computational Methods For Reliability And Risk Analysis, Hardback Book


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.


  • Format: Hardback
  • Pages: 364 pages
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication Date:
  • Category: Reliability engineering
  • ISBN: 9789812839015



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