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Proceedings Paper

Robust diagnostic system: structural redundancy approach
Author(s): Amit Misra; Janos Sztipanovitz; James Ray Carnes
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Paper Abstract

We have developed and field tested a real-time robust diagnostic system, which uses hierarchical, multiple-aspect models of plants. The models include the functional structure, timed failure propagation graphs, physical component structure, and component failure modes. The diagnostic reasoning applies structural and temporal constraints for the generation and validation of fault hypotheses using the `predictor-corrector' principle. The diagnosis is generated in real time, amid an evolving alarm scenario, and uses progressive deepening control strategy. The robust diagnostic system has been tested and demonstrated using ECLSS models obtained from the Boeing Company.

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); doi: 10.1117/12.169399
Show Author Affiliations
Amit Misra, Vanderbilt Univ. (United States)
Janos Sztipanovitz, Vanderbilt Univ. (United States)
James Ray Carnes, Boeing Missiles and Space Div. (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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