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- Author: Enrico Zio
- Publisher: World Scientific Publishing Company
- Year: 2009
- Pages: 340
- ISBN-10: 9812839011
- ISBN-13: 9789812839015
- Format: 15.2 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Computational Methods for Reliability and Risk Analysis (e-book) (used book) | bookbook.eu
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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.
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- Author: Enrico Zio
- Publisher: World Scientific Publishing Company
- Year: 2009
- Pages: 340
- ISBN-10: 9812839011
- ISBN-13: 9789812839015
- Format: 15.2 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English English
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.
Reviews