Diagnosability Analysis Considering Causal Interpretations for Differential Constrain

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Erik Frisk Anibal Bregon Jan Aslund Mattias Krysander Belarmino Pulido Gautam Biswas

Abstract

This work is focused on structural approaches to studying diagnosability properties given a system model taking into account, both simultaneously or separately, integral and differential causal interpretations for differential constraints. We develop a model characterization and corresponding algorithms, for studying system diagnosability using a structural decomposition that avoids generating the full set of system ARRs. Simultaneous application of integral and differential causal interpretations for differential constraints results in a mixed causality interpretation for the system. The added power of mixed causality is demonstrated using a case study. Finally, we summarize our work and provide a discussion of the advantages of mixed causality over just derivative or just integral causality.

How to Cite

Frisk, E., Bregon, A., Aslund, J., Krysander, M., Pulido, B., & Biswas, G. (2010). Diagnosability Analysis Considering Causal Interpretations for Differential Constrain. Annual Conference of the PHM Society, 2(2). https://doi.org/10.36001/phmconf.2010.v2i1.1946
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Keywords

diagnosis, fault isolation, diagnosability analysis, dynamic systems

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Section
Technical Papers

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