DOC: diagnoser of complex continuous systems--application to a thermal bus system

Gautam Biswas; Xudong Yu; R. Kapadia; Charles C. Robertson; Timothy D. Hill

doi:10.1117/12.169385

1 March 1994 DOC: diagnoser of complex continuous systems--application to a thermal bus system

Gautam Biswas, Xudong Yu, R. Kapadia, Charles C. Robertson, Timothy D. Hill

Proceedings Volume 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry; (1994) https://doi.org/10.1117/12.169385
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Gautam Biswas, Xudong Yu, R. Kapadia, Charles C. Robertson, and Timothy D. Hill "DOC: diagnoser of complex continuous systems--application to a thermal bus system", Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); https://doi.org/10.1117/12.169385

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