The Monte Carlo Simulation Method for System Reliability and Risk Analysis

  • Enrico Zio

Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

About this book

Introduction

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.

 

Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques.

 

This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.

Keywords

Latin Hypercube Sampling Monte Carlo Simulation Method Series-parallel Discrete State Systems System Reliability and Risk Analysis The Cross Entropy Method

Authors and affiliations

  • Enrico Zio
    • 1
  1. 1., Laboratoire Génie IndustrielEcole Centrale ParisCHATENAY-MALABRYFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4588-2
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-4587-5
  • Online ISBN 978-1-4471-4588-2
  • Series Print ISSN 1614-7839
  • About this book