Diagnosability Analysis Considering Causal Interpretations for Differential Constraints
This paper is focused on structural approaches to study 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 analytical redundancy relations. 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 Reverse Osmosis Subsystem from the Advanced Water Recovery
System developed at the NASA Johnson Space Center. Finally, we
summarize our work and provide a discussion of the advantages of mixed
causality over just derivative or just integral causality
Erik Frisk, Anibal Bregon, Jan Åslund, Mattias Krysander, Belarmino Pulido and Gautam Biswas
IEEE Transactions on Systems, Man, and Cybernetics -- Part A: Systems and Humans,
2012
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