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Proceedings Paper

Multi-Level Models For Diagnosis Of Complex Electro-Mechanical Systems
Author(s): John A. Smith; Gautam Biswas
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Paper Abstract

This paper discusses a knowledge-based system for diagnostic problem solving based on a multi-level representational structure and associated reasoning methods. The motivation behind this approach is to combine shallow evidential models for fault diagnosis with deep qualitative models that derive behavior from structural descriptions. In addition, the reasoning scheme utilizes historical data based on past experience for diagnosis. Using this integrated framework, we concentrate on the following issues: (i) Multi-level knowledge based system design, and (ii) Reasoning systems that exploit the multi-level representational structure for diagnostic problem solving. This system is applied to the diagnosis of a complex electro-mechanical system, specifically, the upper cargo door of the DC-10 aircraft in use at Federal Express Corporation.

Paper Details

Date Published: 21 March 1989
PDF: 11 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969284
Show Author Affiliations
John A. Smith, Federal Express Corporation (United States)
Gautam Biswas, Vanderbilt University (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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