Diagnosability Analysis Considering Causal Interpretations for Differential Constraints

Erik Frisk, Anibal Bregon, Jan Åslund, Mattias Krysander, Belarmino Pulido, and Gautam Biswas
Submission Type: 
Full Paper
phmc_10_097.pdf374.48 KBSeptember 20, 2010 - 12:15am

This work is focused on analyzing diagnosability properties for a
given system model, from a structural point of view, taking into
account causal interpretations for differential constraints,
i.e. allowing their interpretation either in derivative or integral
causality. When both interpretations are allowed simultaneously for
a model, the system is said to be in mixed causality. A
characterization and algorithms, not based on the set of ARRs, for
computing those properties for the mixed causality form are
provided. The added power of mixed causality is demonstrated using a
case study. Finally, we summarize the work in this paper by
providing a discussion of the advantages of mixed causality against
using just derivative or just integral causality.

Publication Control Number: 
Submission Keywords: 
fault isolation
diagnosability analysis
dynamic systems
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