Root cause analysis to identify physical causes

Gabriela Medina-Oliva (1) , Benoît Iung (1) , Luis Barberá (2) , Pablo Viveros (3) , Thomas Ruin (1)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 Universidad de Sevilla = University of Seville
3 Department of Industrial Engineering

This paper proposes a methodology to develop a root cause analysis (RCA) tool which purpose is to identify the physical bad actors that cause performances deviations of an industrial system. This model is based on the integration of several RCA tools such as fault tree, FMECA and HAZOP. The objective is to evaluate and identify perturbation factors in order to eliminate them and to optimize the enterprise maintenance performances. 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 identify the factors that causes deviation on its reliability and its output flow attributes.

Mots clés: Bayesian Network; root cause analysis; system performances

Domaines: Modélisation et simulation

Gabriela Medina-Oliva, Benoît Iung, Luis Barberá, Pablo Viveros, Thomas Ruin. Root cause analysis to identify physical causes. 11th International Probabilistic Safety Assessment and Management Conference and The Annual European Safety and Reliability Conference, PSAM11 - ESREL 2012, Jun 2012, Helsinki, Finland. pp.CDROM. ⟨hal-00748696⟩