Title
Artificial intelligence for industrial process supervision
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.
Year
DOI
Venue
2006
10.1007/11779568_2
IEA/AIE
Keywords
Field
DocType
intelligent interface,artificial intelligence,fault supervision,complex industrial process supervision,semi-qualitative trend extraction,fault detection,causal reasoning,multi agent system,fuzzy logic,decision support,artificial intelligent
Causal reasoning,Fault detection and isolation,Computer science,Process supervision,Decision support system,Fuzzy logic,Artificial intelligence
Conference
Volume
ISSN
ISBN
4031
0302-9743
3-540-35453-0
Citations 
PageRank 
References 
2
0.41
5
Authors
1
Name
Order
Citations
PageRank
Sylviane Gentil18911.94