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Identification for passive robust fault detection using zonotope-based set-membership approaches

Autor Blesa, Joaquim ; Puig, Vicenç; Saludes, Jordi
Palabras clave Identification
Robust residuals
Robust fault detection
Fecha de publicación 2011
EditorJohn Wiley & Sons
Citación International Journal of Adaptive Control and Signal Processing 25(9): 788-812 (2011)
ResumenIn this paper, the problem of identification for passive robust fault detection, when a bounded description of the modelling uncertainty is considered, is addressed. Two set-membership identification methods are introduced to address this problem: the interval predictor and bounded error approaches. These two identification approaches naturally lead to two robust fault detection tests: the direct and inverse tests, respectively, which are also introduced and discussed. Implementation algorithms make use of a zonotope to approximate the parameter uncertainty set. Moreover, underlying hypothesis of both approaches is discussed and applicability conditions are stated. A case study based on a four-tank system is used to illustrate the applicability and the properties of the two identification approaches as well as the corresponding fault detection. Copyright © 2011 John Wiley & Sons, Ltd.
Descripción The material of this paper was partially presented at 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, July 2009, Barcelona, Spain.
Versión del editorhttp://dx.doi.org/10.1002/acs.1242
URI http://hdl.handle.net/10261/96808
Identificadoresdoi: 10.1002/acs.1242
issn: 0890-6327
e-issn: 1099-1115
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