DocumentCode :
3334834
Title :
Designing knowledge-based systems within functional architecture: the DIVA experiment
Author :
David, Jean-Marc ; Krivine, Jean-Paul
Author_Institution :
Sedco-Forex Schlumberger, Montrouge, France
fYear :
1989
fDate :
6-10 Mar 1989
Firstpage :
173
Lastpage :
180
Abstract :
An assessment is made of the use of functional architecture for knowledge-based systems. The discussion is based on the experience gained while designing DIVA, an expert system for vibration-based monitoring of large rotating machinery. The authors describe the system and show how its task decomposition results from the characteristics of the problem. They explain how this approach makes it possible to build more sophisticated explanations of reasoning. They also show how knowledge acquisition has been achieved in this framework and discuss the maintainability of such systems
Keywords :
computerised monitoring; electrical engineering computing; expert systems; explanation; knowledge acquisition; turbogenerators; DIVA experiment; expert system; functional architecture; knowledge acquisition; knowledge-based systems; large rotating machinery; maintainability; reasoning; sophisticated explanations; task decomposition; turbine generator monitoring; vibration-based monitoring; Condition monitoring; Expert systems; Knowledge acquisition; Knowledge based systems; Machinery; Message passing; Problem-solving; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Applications, 1989. Proceedings., Fifth Conference on
Conference_Location :
Miami, FL
Print_ISBN :
0-8186-1902-3
Type :
conf
DOI :
10.1109/CAIA.1989.49151
Filename :
49151
Link To Document :
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