Artificial Intelligence for industrial process supervision

This paper presents some difficulties of complex industrial process supervision and explains why artificial intelligence may help to solve some problems. Qualitative or semi-qualitative trend extraction is mentioned first. Then fault detection and fault supervision are evoked. The necessity for intelligent interfaces is explained next and distributed supervision is finally mentioned.

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Source 19th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE'06), Annecy (FRANCE), 27-30 june 2006; conference invitee publiée dans Lectures Notes in Computer Science, series Lectures Notes in Artif
Author Gentil, Sylviane
Maintainer CCSD
Last Updated May 7, 2026, 13:56 (UTC)
Created May 7, 2026, 13:56 (UTC)
Identifier hal-00092635
Language en
contributor Laboratoire d'automatique de Grenoble (LAG) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
coverage Annecy, France
creator Gentil, Sylviane
date 2006-05-07T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-27T00:00:00
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