A neuro-fuzzy monitoring system. Application to flexible production systems.

Nicolas Palluat (1) , Daniel Racoceanu (1) , Noureddine Zerhouni (1)

1 LAB - Laboratoire d'automatique de Besançon

The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neuro-fuzzy technics seems very promising. In this paper, we propose a new monitoring aid system composed by a dynamic neural network detection tool and a neuro-fuzzy diagnosis tool. Learning capabilities due to the neural structure permit us to update the monitoring aid system. The neuro-fuzzy network provides and abductive diagnosis. Moreover it takes into account the uncertainties on the maintenance knowledge by giving a fuzzy characterization of each cause. At the end, we illustrate the industrial usefulness of the proposed dynamic neuro-fuzzy monitoring system through a flexible production system monitoring application.

Mots clés: fault tree; UML; neural network; neuro-fuzzy; diagnosis; monitoring; maintenance; SCADA; CMMS; FMECA; fault tree.

Domaines: Automatique / Robotique

Nicolas Palluat, Daniel Racoceanu, Noureddine Zerhouni. A neuro-fuzzy monitoring system. Application to flexible production systems.. Computers in Industry, 2006, 57 (6), pp.528-538. ⟨10.1016/j.compind.2006.02.013⟩. ⟨hal-00263918⟩