Title :
Knowledge compilation and refinement for fault diagnosis
Author :
Kobayashi, Shigenobu ; Nakamura, Kotaro
Author_Institution :
Dept. of Intelligence Sci., Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
A knowledge-compilation framework that is based on explanation-based learning and that uses cases, causal models, and measurement and testing knowledge for diagnosis is described. Fault diagnostic cases as well as operationality criteria are used to compile causal diagnostic knowledge into operational diagnostic knowledge. A difference analysis is then performed on that operational knowledge to refine it into heuristic diagnostic knowledge. The implementation of the system and its application to a practical problem involving fault diagnosis in cigarette factories are discussed.<>
Keywords :
automatic testing; explanation; fault location; knowledge acquisition; knowledge based systems; learning systems; causal diagnostic knowledge; causal models; cigarette factories; explanation-based learning; fault diagnosis; heuristic diagnostic knowledge; knowledge-compilation framework; operational diagnostic knowledge; testing knowledge; Communication systems; Computer aided software engineering; Fault diagnosis; Indexing; Knowledge engineering; Large scale integration; Mechanical variables measurement; Performance analysis; Terminology; Testing;
Journal_Title :
IEEE Expert
