A neuro-fuzzy monitoring system application to flexible production systems

Authors:
N. Palluat;D. Racoceanu;N. Zerhouni
Affiliations:
Laboratoire d'Automatique de Besançon, Besançon, France;Lab. d'Automatique de Besançon, Besançon and Univ. of Franche-Comté and Image Perception, Access and Lrng. (IPAL) and French Natl. Ctr. for Sci. Res. (CNRS) and Instit. for Info-com ...;Laboratoire d'Automatique de Besançon, Besançon, France
Venue:
Computers in Industry - Special issue: E-maintenance
Year:
2006

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Abstract

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 an 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 neurofuzzy monitoring system trough a flexible production system monitoring application.