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.

About the Author

Franck Bayle trained as an electronic engineer. He has practiced for almost 15 years, working at Crouzet and then at Thal�s in Valence, France. He has also worked as Design Authority in reliability and maturity.

Laurent Denis is the CEO of StatXpert, a consulting, training, and software company specializing in statistics and operational reliability based in Pessac, France.

Adrien Gigliati is Dependability Engineer at Thal�s in Valence, France.

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