Title :
An application of qualitative reasoning to process diagnosis: automatic rule generation by qualitative simulation
Author_Institution :
Dept. of Appl. Syst. Sci., Kyoto Univ., Japan
Abstract :
AQUA, a knowledge acquisition tool for the process diagnosis domain, is presented. AQUA uses a qualitative model in guiding the construction of a diagnostic rule base. Since online real-time diagnosis of the real process plant requires a huge rule base, a systematic way of building the rule base is proposed by a qualitative version of fault simulation on the qualitative model. The qualitative model is modified interactively, using qualitative simulation and qualitative diagnosis. To further enhance the knowledge acquisition process, the knowledge from which the model is constructed is divided into two types: plant-common knowledge and plant-specific knowledge
Keywords :
knowledge engineering; process computer control; AQUA; automatic rule generation; diagnostic rule base; fault simulation; knowledge acquisition tool; online real-time diagnosis; plant-common knowledge; plant-specific knowledge; process diagnosis; qualitative reasoning; qualitative simulation; Buildings; Fault diagnosis; Knowledge acquisition; Knowledge based systems; Level control; Libraries; Mathematical model; Parameter estimation; Real time systems; Stability analysis;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196092