2011
IMAACA 2011 Proceeding
A New Approach for Industrial Diagnosis by Neuro-Fuzzy systems: Application to Manufacturing System
Authors: Rafik Mahdaoui, Hayet Mouss, Djamel Mouss
Abstract
In this study we propose a strategy for the follow-up of the process behavior and detection of failures. An approach of industrial diagnosis based on the statistical pattern recognition Neuro-Fuzzy being based on a digital representation and symbolic system of the forms is implemented. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures.The system selected is the workshop of SCIMAT clinker , cement factory in Algeria.
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