Computational Methods For Reliability And Risk Analysis Hardback
Part of the Series on Quality, Reliability and Engineering Statistics series
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: 23/01/2009
- Category: Reliability engineering
- ISBN: 9789812839015