Monte Carlo Simulation in Dependability Analysis

Monte Carlo Simulation in Dependability Analysis

  • Franck Bayle
  • Laurent Denis
  • Adrien Gigliati
Publisher:John Wiley & SonsISBN 13: 9781394423699ISBN 10: 1394423691

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Monte Carlo Simulation in Dependability Analysis is written by Franck Bayle and published by John Wiley & Sons. It's available with International Standard Book Number or ISBN identification 1394423691 (ISBN 10) and 9781394423699 (ISBN 13).

System dependability is a complex task to grasp and analyze since it encompasses reliability, maintainability, availability, failure mode analysis and feared events. For operational safety analyses, reliability is a quantitative basis for the other disciplines of maintainability, availability and safety. Reliability metrics such as failure rate or MTBF are often misused as they are only valid for low-maintenance applications, and wrongly for others, as MTBF is only relevant for availability. In addition, in operational safety, many equations do not have explicit solutions, and Monte Carlo simulations are a little-used way of obtaining and/or confirming the solution obtained by numerical methods. Monte Carlo Simulation in Dependability Analysis fills this gap as best as we can. This task is a difficult one, since operational safety is a cross-disciplinary activity in the engineering sciences – cross-disciplinary in that it must be present throughout a product’s life cycle.