A probabilistic relational model approach for fault trees modeling

Thierno Kante (1) , Philippe Leray (1)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes

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.

Mots clés: Bow Tie diagram; Bayesian Network; Probabilistic Relational Model; Fault trees

Domaines: Apprentissage [cs.LG]

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⟩