Monte Carlo Simulation in Dependability Analysis

di Franck Bayle (Autore)

Laurent Denis (Autore)

Adrien Gigliati (Autore)

ISTE Ltd, 2025

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.

• Autore: Franck Bayle, Laurent Denis, Adrien Gigliati
• Editore: ISTE Ltd
• Collana: ISTE Invoiced
• Anno: 2025
• Rilegatura: Hardback
• Pagine: 304 p.
• EAN: 9781836690320

Testo in English