[ Contribution à la conception d'un système de télésurveillance pour un système de production ]
Volume 13, Issue 3, November 2015, Pages 691–703
Mohamed Ramadany1 and Driss Amegouz2
1 Laboratoire de Productique, des Energie et du Développement Durable (LPEDD), Université Sidi Mohamed Ben Abdellah/Ecole supérieure de Technologies de Fès Fès, Maroc, Morocco
2 Laboratoire de Productique, Energétique et Développement Durable, Université Sidi Mohammed Ben Abdellah/Ecole Supérieure de Technologie, BP 2427 Route Imouzzer30000 Fès, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The major vocation of the industrial monitoring is to increase the availability of the industrial machines which are part of the systems of production in order to reduce the costs generated by maintenance which penalize the performances of the company. Methodologies of monitoring can be divided into two main categories: on the one hand, methodologies which are based on the existence of a formal model of the equipment to supervise, and on the other hand, methodologies for which the absence of a model requires the recourse to the tools of the artificial intelligence. This article is devoted initially to the presentation of methodologies of the monitoring using the tools of the artificial intelligence like to the state of art of the application of the artificial intelligence to the monitoring, and in the second time with a contribution to the design of a system of remote monitoring for the systems of production according to a functional approach.
Author Keywords: Monitoring, Detection, Diagnosis, Methodologies, Artificial Intelligence, Remote monitoring system.
Volume 13, Issue 3, November 2015, Pages 691–703
Mohamed Ramadany1 and Driss Amegouz2
1 Laboratoire de Productique, des Energie et du Développement Durable (LPEDD), Université Sidi Mohamed Ben Abdellah/Ecole supérieure de Technologies de Fès Fès, Maroc, Morocco
2 Laboratoire de Productique, Energétique et Développement Durable, Université Sidi Mohammed Ben Abdellah/Ecole Supérieure de Technologie, BP 2427 Route Imouzzer30000 Fès, Morocco
Original language: French
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The major vocation of the industrial monitoring is to increase the availability of the industrial machines which are part of the systems of production in order to reduce the costs generated by maintenance which penalize the performances of the company. Methodologies of monitoring can be divided into two main categories: on the one hand, methodologies which are based on the existence of a formal model of the equipment to supervise, and on the other hand, methodologies for which the absence of a model requires the recourse to the tools of the artificial intelligence. This article is devoted initially to the presentation of methodologies of the monitoring using the tools of the artificial intelligence like to the state of art of the application of the artificial intelligence to the monitoring, and in the second time with a contribution to the design of a system of remote monitoring for the systems of production according to a functional approach.
Author Keywords: Monitoring, Detection, Diagnosis, Methodologies, Artificial Intelligence, Remote monitoring system.
Abstract: (french)
Les La vocation majeure de la surveillance industrielle est d'augmenter la disponibilité des machines industrielles qui font partie des systèmes de production afin de réduire les coûts engendrés par la maintenance qui pénalisent les performances de l'entreprise. Les méthodologies de surveillance peuvent être divisées en deux grandes catégories: d'une part, les méthodologies qui se basent sur l'existence d'un modèle formel de l'équipement à surveiller, et d'autre part, les méthodologies pour lesquelles l'absence d'un modèle nécessite le recours aux outils de l'intelligence artificielle. Cet article est consacré dans un premier temps à la présentation des méthodologies de la surveillance utilisant les outils de l'intelligence artificielle ainsi qu'à l'état d'art de l'application de l'intelligence artificielle à la surveillance, et dans un second temps à une contribution à la conception d'un système de télésurveillance pour les systèmes de production selon une approche fonctionnelle.
Author Keywords: Surveillance, Détection, Diagnostic, Méthodologies, Intelligence Artificielle, Système de télésurveillance.
How to Cite this Article
Mohamed Ramadany and Driss Amegouz, “Contribution to the conception of a system of remote monitoring for a production's system,” International Journal of Innovation and Applied Studies, vol. 13, no. 3, pp. 691–703, November 2015.
