Publication
Robust fault diagnosis of non-linear systems using interval constraint satisfaction and analytical redundancy relations
Journal Article (2014)
Journal
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Pages
18-29
Volume
44
Number
1
Doc link
http://dx.doi.org/10.1109/TSMC.2013.2238924
File
Authors
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Tornil Sin, Sebastian
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Ocampo Martínez, Carlos A.
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Puig Cayuela, Vicenç
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Escobet, Teresa
Projects associated
Abstract
In this paper, the robust fault diagnosis pro- blem for non-linear systems considering both bounded parametric modelling errors and noises is addressed using parity equation based Analytical Redundancy Relations and Interval Constraint Satisfaction techniques. Fault detection, isolation and estimation tasks are considered. Moreover, the paper addresses the problem of determining the uncertainty in the parameters of the used uncertain ARRs. To illustrate the usefulness of the proposed ap- proach, a case study based on the well known wind turbine benchmark is used.
Categories
automation.
Author keywords
fault detection, robustness, intervals, set- membership estimation, constraint satisfaction
Scientific reference
S. Tornil-Sin, C. Ocampo-Martínez, V. Puig and T. Escobet. Robust fault diagnosis of non-linear systems using interval constraint satisfaction and analytical redundancy relations. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(1): 18-29, 2014.
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