DocumentCode :
658017
Title :
Developpement of an industrial application with Neuro-fuzzy systems
Author :
Sonia, Benaicha ; Hannane, Zermane ; Hayet, Mouss ; Fateh, Benazir
Author_Institution :
Lab. of Autom. & Production, Univ. of Batna, Batna, Algeria
fYear :
2013
fDate :
6-8 May 2013
Firstpage :
495
Lastpage :
500
Abstract :
In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called "NFPROG" (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) - University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7 was chosen as a programming language platform for our system.
Keywords :
cement industry; fuzzy neural nets; pattern recognition; Elman neural networks; NFPROG; cement manufacturing company; cement manufacturing process; fuzzy preceptor; industrial application; interactive simulation software; neuro fuzzy assistance prognosis system; neuro fuzzy prognosis; pattern recognition; programming language platform; Conferences; Fuzzy logic; Laboratories; Neural networks; Ovens; Pattern recognition; Prognostics and health management; Elman network; Neuro-Fuzzy System; PCS7; Pattern Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
Type :
conf
DOI :
10.1109/CoDIT.2013.6689594
Filename :
6689594
Link To Document :
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