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Proceedings Paper

DOC: diagnoser of complex continuous systems--application to a thermal bus system
Author(s): Gautam Biswas; Xudong Yu; R. Kapadia; Charles C. Robertson; Timothy D. Hill
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Paper Abstract

This paper discusses DOC, an efficient method for diagnosis of continuous systems based on qualitative analysis of an analytic constraint equation model of the system. Starting with equations that relate observations (measurements of parameter values) of a system to its individual components, the system first generates a diagnosis model based on partial explanations of the associated measurement parameters. Partial explanations are generated by qualitative causal analysis of the given constraint equations. These relations are then exploited for effective candidate generation and measurement selection when multiple candidates are generated. A method for analyzing systems with complex feedback loops is also presented. DOC has been successfully applied to diagnosing faults in the Space Station Thermal Bus system.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994);
Show Author Affiliations
Gautam Biswas, Vanderbilt Univ. (United States)
Xudong Yu, Vanderbilt Univ. (United States)
R. Kapadia, Vanderbilt Univ. (United States)
Charles C. Robertson, McDonnell Douglas Aerospace (United States)
Timothy D. Hill, McDonnell Douglas Aerospace (United States)

Published in SPIE Proceedings Vol. 2244:
Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry
Wray Buntine; Doug H. Fisher, Editor(s)

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