Publication
Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction
Journal Article (2012)
Journal
Engineering Applications of Artificial Intelligence
Pages
1-10
Volume
25
Number
1
Doc link
http://dx.doi.org/10.1016/j.engappai.2011.07.007
File
Authors
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Tornil Sin, Sebastián
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Ocampo Martínez, Carlos A.
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Puig Cayuela, Vicenç
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Escobet Canal, Teresa
Projects associated
Abstract
In 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 dynamicmodel of a representative portion of the Barcelona’s 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.
Categories
control theory, linear programming, observability.
Author keywords
fault detection, robustness, intervals, set-membership estimation, constraints satisfaction
Scientific reference
S. Tornil-Sin, C. Ocampo-Martínez, V. Puig and T. Escobet. Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction. Engineering Applications of Artificial Intelligence, 25(1): 1-10, 2012.
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