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Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction

AuthorsTornil-Sin, Sebastian ; Ocampo-Martinez, Carlos ; Puig, Vicenç ; Escobet, Teresa
Constraints satisfaction
Set-membership estimation
Fault detection
Issue Date2012
CitationEngineering Applications of Artificial Intelligence 25(1): 1-10 (2012)
AbstractIn this paper, the robust fault detection problem for non-linear systems considering both bounded parametric modelling errors and measurement noises is addressed. The non-linear system is monitored by using a state estimator with bounded modelling uncertainty and bounded process and measurement noises. Additionally, time-variant and time-invariant system models are taken into account. Fault detection is formulated as a set-membership state estimation problem, which is implemented by means of constraint satisfaction techniques. Two solutions are presented: the first one solves the general case while the second solves the time-variant case, being this latter a relaxed solution of the first one. The performance of the time-variant approach is tested in two applications: the well-known quadruple-tank benchmark and the dynamic model of a representative portion of the Barcelonas sewer network. In both applications, different scenarios are presented: a faultless situation and some faulty situations. All considered scenarios are intended to show the effectiveness of the presented approach. © 2011 Elsevier Ltd. All rights reserved.
Publisher version (URL)http://dx.doi.org/10.1016/j.engappai.2011.07.007
Identifiersdoi: 10.1016/j.engappai.2011.07.007
issn: 0952-1976
Appears in Collections:(IRII) Artículos
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