Quantitative isolability analysis of different fault modes
To be able to evaluate quantitative fault diagnosability performance in model-based
diagnosis is useful during the design of a diagnosis system. Di↵erent fault realizations are more
or less likely to occur and the fault diagnosis problem is complicated by model uncertainties
and noise. Thus, it is not obvious how to evaluate performance when all of this information
is taken into consideration. Four candidates for quantifying fault diagnosability performance
between fault modes are discussed. The proposed measure is called expected distinguishability
and is based of the previous distinguishability measure and two methods to compute expected
distinguishability are presented.
Daniel Jung, Erik Frisk and Mattias Krysander
2015
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