DocumentCode :
1167753
Title :
Toward systematic construction of diagnostic systems for large industrial plants: methods, languages, and tools
Author :
El Ayeb, Béchir
Author_Institution :
Dept. de Math. et d´´Inf., Sherbrooke Univ., Que., Canada
Volume :
6
Issue :
5
fYear :
1994
fDate :
10/1/1994 12:00:00 AM
Firstpage :
698
Lastpage :
712
Abstract :
We address the problem of systematically constructing diagnostic systems for large industrial plants. Toward this end, we propose an environment based on methods, languages and tools allowing systematic construction of diagnostic systems for units of large industrial plants. This environment is based on a skillful articulation of methods, languages, and tools. The process of construction proceeds in three stages as follows. Using methods, the first stage aims at structuring the unit into a set of hierarchies and graphs pointing out several views. The second stage makes use of languages to give a precise specification of the different components embedded in the unit. Finally, tools map the specifications of the unit to derive the diagnostic system
Keywords :
computer integrated manufacturing; diagnostic expert systems; formal specification; industrial plants; software tools; specification languages; artificial intelligence; diagnostic systems; expert systems; fault diagnosis; graphs; hierarchies; large industrial plants; software tools; specification; system engineering; systematic construction; Artificial intelligence; Automation; Diagnostic expert systems; Fault diagnosis; Humans; Industrial plants; Intelligent systems; Knowledge engineering; Power system modeling; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.317701
Filename :
317701
Link To Document :
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