Fault diagnosability utilizing quasi-static and structural modelling

Authors:
F. Nejjari;R. Perez;T. Escobet;L. Travé-MassuyèS
Affiliations:
Technical University of Catalonia (UPC), 10 Rambla Sant Nebridi, 08222 Terrassa, Spain;Technical University of Catalonia (UPC), 10 Rambla Sant Nebridi, 08222 Terrassa, Spain;Technical University of Catalonia (UPC), 10 Rambla Sant Nebridi, 08222 Terrassa, Spain;LAAS-CNRS, University of Toulouse, 7, avenue du Colonel Roche, 31077 Toulouse Cedex 4, France
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2007

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Abstract

This paper presents a diagnosis model-based method to analyse fault discriminability and assess diagnosability. The technique is based on the state space representation of quasi-static models. Fault diagnosability characterises the faults that can be discriminated using the available sensors in a system. The method can be used to select the minimum set of sensors that guarantee discriminability of an anticipated set of faults. The approach is applied on a two-tanks system benchmark and is compared to a diagnosability analysis method based on structural analysis.