Quantitative Analysis of Dynamic Fault Trees based on the Structure Function

Guillaume Merle (1) , Jean-Marc Roussel (1) , Jean-Jacques Lesage (1)

1 LURPA - Laboratoire Universitaire de Recherche en Production Automatisée

This paper presents a probabilistic model of dynamic gates which allows to perform the quantitative analysis of any Dynamic Fault Tree (DFT) from its structure function. Both these probabilistic models and the quantitative analysis which can be performed thanks to them can accommodate any failure distribution of basic events. We illustrate our approach on a DFT example from the literature.

Mots clés: quantitative analysis; Dynamic fault tree; structure function; probabilistic model; quantitative analysis.

Domaines: Automatique / Robotique

Guillaume Merle, Jean-Marc Roussel, Jean-Jacques Lesage. Quantitative Analysis of Dynamic Fault Trees based on the Structure Function. Quality and Reliability Engineering International, 2014, 30 (1), pp. 143-156. ⟨hal-00954679⟩