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.
General
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