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Monitoring Approach Using Recurrent Radial Basis Function Neural Networks and Neuro-Fuzzy Systems

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2 Author(s)
D. Racoceanu ; Science Department, University of Franche-Comté, 25000 Besançon, France; Laboratoire l'Automatique de Besançcon (control system laboratory), France - UMR CNRS 6596; IPAL (Image Processing Application Lab), Singapour - FRE CNRS 2339. E-mail: daniel.racoceanu@univ-fcomte.fr ; N. Zerhouni

Multiple reconfiguration and complexity of modern production systems lead to design intelligent monitoring aid systems. The use of artificial intelligence techniques in order to exploit their learning and human experience modeling 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

Published in:

2005 International Conference on Neural Networks and Brain  (Volume:2 )

Date of Conference:

13-15 Oct. 2005