Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system

Gabriela Medina-Oliva (1) , Philippe Weber (1) , Eric Levrat (1) , Benoît Iung (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper proposes a methodology to develop a decision-making aid tool which purpose is to assess the dependability and performances of an industrial system. This model is based on a new formalism, called the probabilistic relational model (PRM) which is adapted to deal with large and complex systems. The objective is to evaluate system's performances in order to optimize the enterprise maintenance strategies. The methodology is formalized from functional, dysfunctional and informational studies of the technical industrial systems. This methodology is applied, for modeling a water heater system to estimate its reliability and its output flow attributes.

Mots clés: Probabilistic relational model; maintenance; system performances

Domaines: Automatique / Robotique

Gabriela Medina-Oliva, Philippe Weber, Eric Levrat, Benoît Iung. Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system. 7th Workshop on Advanced Control and Diagnosis, ACD'2009, Nov 2009, Zielona Gora, Poland. pp.CDROM. ⟨hal-00439255⟩