Monte Carlo Simulation In Dependability Analysis (2025) (Franck Bayle, Laurent Denis and Adrien Gigliati)

[Farid-Khan]

1836690320 Franck Bayle, Laurent Denis and Adrien Gigliati ISTE Ltd. 2026

Catergory: Mathematics, Technology, Engineering, Nonfiction

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.

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? Bayle F. Monte Carlo Simulation In Dependability Analysis 2025.pdf (Franck Bayle, Laurent Denis and Adrien Gigliati) (2026) (30.77 MB)

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⭐️ Monte Carlo Simulation In Dependability Analysis (2025) ✅ (31.78 MB)
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