Open AccessDevelopment of an Industrial Application with Neuro-Fuzzy Systems
Author(s) -
Benaicha Sonia,
Zermane Hannane,
Hayet Mouss,
Fateh Bencherif
Publication year - 2021
Publication title -
international journal of fuzzy systems and advanced applications
Language(s) - English
Resource type - Journals
ISSN - 2313-0512
DOI - 10.46300/91017.2021.8.3
Subject(s) - siemens , automation , fuzzy logic , computer science , process (computing) , neuro fuzzy , artificial intelligence , artificial neural network , architecture , fuzzy control system , manufacturing engineering , engineering , operating system , mechanical engineering , art , electrical engineering , visual arts
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 PCS7was chosen as a programming language platform for our system.