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Proceedings Paper

Integrated approach to diagnosis of complex hybrid systems
Author(s): Sriram Narasimhan; Gautam Biswas; Gabor Karsai
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Paper Abstract

This paper presents a model-based approach to diagnosis of hybrid systems. We have developed a combined qualitative-quantitative diagnosis scheme that uses hybrid models of the system and a model of the supervisory controller. By applying the supervisory controller model to diagnostic analysis we significantly cut down on the complexity in tracking behaviors, and in generating and refining hypotheses across discrete mode changes in the system behavior. We present the algorithms for hybrid diagnosis: hypotheses generation by back propagation, and hypotheses refinement by forward propagation and parameter estimation. Example scenarios demonstrate the effectiveness of this approach.

Paper Details

Date Published: 20 July 2001
PDF: 12 pages
Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); doi: 10.1117/12.434247
Show Author Affiliations
Sriram Narasimhan, Vanderbilt Univ. (United States)
Gautam Biswas, Vanderbilt Univ. (United States)
Gabor Karsai, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 4389:
Component and Systems Diagnostics, Prognosis, and Health Management
Peter K. Willett; Thiagalingam Kirubarajan, Editor(s)

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