Jet engine technical advisor (JETA)

Authors:
Suhayya Abu-Hakima;Philippe Davidson;Mike Halasz;Sieu Phan
Affiliations:
National Research Council of Canada, Ottawa;National Research Council of Canada, Ottawa;National Research Council of Canada, Ottawa;National Research Council of Canada, Ottawa
Venue:
IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Year:
1989

Citing 6
Cited 1

Enhanced Maintenance and Explanation of Expert Systems Through Explicit Models of Their Development

IEEE Transactions on Software Engineering - Special issue on artificial intelligence and software engineering
From Guidon to Neomycin and Heracles in twenty short lessons

AI Magazine
Generic expert system shell for diagnostic reasoning

IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Hierarchical representation and machine learning from faulty jet engine behavioral examples to detect real time abnormal conditions

IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
Explanation capabilities of production-based consultation systems

Explanation capabilities of production-based consultation systems
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)

Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)

Intelligent troubleshooting of complex machinery

IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1

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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.