ABSTRACT
The paper describes a generalized knowledge-based tool for diagnosis which is currently being applied to jet engine maintenance. A domain dependent diagnostic tree is created for a particular jet engine by filling in an empty hypothesis frame for each diagnostic node in the tree. The knowledge in the tree is reasoned about using a generalized and explicit reasoning strategy. This strategy can be guided by rules specific to the activation of a particular diagnostic hypothesis in the tree.
The user interacts with the system through a window interface which features definitions, glossary information, schematics and explanations of session reasoning, which are all linked to the knowledge contained in the system. A demonstration prototype which runs under the ART (LISP-based) environment on Symbolics 3620 and Sun 3/60 workstations was completed in December 1988. The preliminary prototype diagnoses a subset of the acceleration faults on the General Electric J85-CAN-15 jet engine and is being field tested and evaluated by potential users.
- Abu-Hakima88a.Abu-Hakima S. RATIONALE: a tool that reasons explicitly for the purpose of explanation. Proceedings of AAAI '88 Workshop on Explanation, (Aug1988).Google Scholar
- Abu-Hakima88b.Abu-Hakima S. RATIONALE: A Tool for Developing Knowledge-Based Systems that Explain by Reasoning Explicitly. Masters thesis, Carleton University, (May 1988).Google Scholar
- Buchanan84.Buchannan B.G. and Shortliffe E.H. Rule- Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison- Wesley Publishing Company, Massachusetts (1984). Google ScholarDigital Library
- Chandrasekaran83.Chandrasekaran B. and Mittal S. Deep Versus Compiled Knowledge Approaches to Diagnostic Problem-Solving. International Journal of Man-MachineStudies, Vol. 19, No. 5, 425-436 (November 1983).Google ScholarCross Ref
- Chu88.Chu W. Generic Expert System Shell for Diagnostic Reasoning. Proceedings of the First International Conference on industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 7-12. Tennessee, USA, (June 1988). Google ScholarDigital Library
- Clancey86.Clancey W.J. From GUIDON to NEOMYCIN and HERACLES in Twenty Short Lessons: ORN Final Report 1979-1985. The AI Magazine, 40-60 (Aug1986). Google ScholarDigital Library
- Gupta88.Gupta U.K. and Ali M. Hierarchical Representation and Machine Learning from Faulty Jet Engine Behavioral Examples to Detect Real Time Abnormal Conditions. Proceedings of the First International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 710-720. Tennessee, USA, (June 1988). Google ScholarDigital Library
- Hayes83.Hayes P.J. and Reddy D.R. Steps Towards Graceful interaction in Spoken and Written Man- Machine Communication. International Journal of Man- Machine Studies 19, No. 3, 231-284 (Sept. 1983).Google ScholarCross Ref
- Neches85.Neches R., Swartout W.R., and Moore J.D. Enhanced Maintenance and Explanation of Expert Systems Through Explicit Models of Their Development. IEEE Transactions on Software Engineering, Vol. SE-11, No. 11, 1337-1351 (Nov 1985). Google ScholarDigital Library
- Swartout81.Swartout W.R Producing Improved Explanations and Justifications of Expert Consulting Programs Using an Automatic Programming Approach. PhD Thesis, MIT, (1981).Google Scholar
- Scott77.Scott A.C., Clancey W.J., Davis R. and Shortliffe E.H. Explanation Capabilities of Production-Based Consultation Systems. Stanford University, Dept. of Computer Science, Report No. STAN-CS-77-593, 35p (Feb. 1977). Google ScholarDigital Library
- Schofield88.Schofield C., La Grandeur R., Dub~ F., Harris T., Cue R., and LeBlanc A. Canadian Forces Aircraft Engine Condition/Health Monitoring - Policy, Plans, and Experience. Advisory Group for Aerospace Research and Development (AGARD) Proceedings No. 448, Quebec City, Canada, pp 4-1,10 (30 May-3 June 1988).Google Scholar
Index Terms
- Jet engine technical advisor (JETA)
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