Abstract
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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Gentil, S. (2006). Artificial intelligence for industrial process supervision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4031 LNAI, pp. 2–11). Springer Verlag. https://doi.org/10.1007/11779568_2
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