A probabilistic relational model approach for fault trees modeling - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

A probabilistic relational model approach for fault trees modeling

Résumé

Fault Trees or Bow Tie Diagrams are widely used for system dependability assessment. Some probabilistic extensions have been proposed by using Bayesian network formalism. This article proposes a general modeling approach under the form of a probabilistic relational model (PRM), relational extension of Bayesian networks, that can represent any fault tree, defined as an event tree with possible safety barriers, simply described in a relational database. We first describe an underlying relational schema describing a generic fault tree, and the probabilistic dependencies needed to model the existence of an event given the possible existence of its related causes and eventual safety barriers.
Fichier principal
Vignette du fichier
ArticleV5.pdf (551.63 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01532490 , version 1 (15-04-2020)

Identifiants

Citer

Thierno Kante, Philippe Leray. A probabilistic relational model approach for fault trees modeling. 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017), 2017, Arras, France. ⟨10.1007/978-3-319-60045-1_18⟩. ⟨hal-01532490⟩
168 Consultations
109 Téléchargements

Altmetric

Partager

More