The comparison of fault distinguishability approaches – case study

A comprehensive characterization of four selected fault distinguishability methods is presented herein. All considered methods are derived from structural residual approaches referring to model-based diagnostics. In particular, these methods are based on a binary diagnostic matrix, fault isolation s...

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Bibliographic Details
Published in:Bulletin of the Polish Academy of Sciences. Technical sciences 2019-01, Vol.67 (6), p.1059-1068
Main Authors: Kościelny, J M, Bartyś, M, Rostek, K
Format: Article
Language:English
Subjects:
antecedence of symptoms
Case studies
diagnostics of industrial processes
fault detection and isolation
fault distinguishability
metrics of distinguishability
Pressure vessels
Sequences
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Summary:A comprehensive characterization of four selected fault distinguishability methods is presented herein. All considered methods are derived from structural residual approaches referring to model-based diagnostics. In particular, these methods are based on a binary diagnostic matrix, fault isolation system, sequences of symptoms, and their combinations. Fault distinguishability issues are discussed based on an example of four pressure vessel system. Substantial benefits are shown in fault distinguishability figures obtained by utilising extended knowledge regarding fault-symptom relation. Finally, the values of three fault distinguishability metrics are calculated for each method. For the case study, the highest score is achieved using the multivalued fault isolation method combined with a diagnosis utilising information regarding the antecedence of symptoms.
ISSN:0239-7528
2300-1917
DOI:10.24425/bpasts.2019.131566