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Robust fault detection using consistency techniques for uncertainty handling

Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system

漏 IEEE International Symposium on Intelligent Signal Processing : 2007 : WISP 2007, 2007, p. 1-6

IEEE

Author: Gelso, Esteban Reinaldo
Castillo, Sandra M.
Armengol Llobet, Joaquim
Date: 2007
Abstract: Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system
Format: application/pdf
Citation: Gelso, E.R., Castillo, S.M., i Armengol, J. (2007). Robust fault detection using consistency techniques for uncertainty handling. IEEE International Symposium on Intelligent Signal Processing : 2007 : WISP 2007, 1-6. Recuperat 21 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4447611
ISBN: 978-1-4244-0830-6
Document access: http://hdl.handle.net/10256/2397
Language: eng
Publisher: IEEE
Collection: Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1109/WISP.2007.4447611
Articles publicats (D-EEEiA)
Is part of: 漏 IEEE International Symposium on Intelligent Signal Processing : 2007 : WISP 2007, 2007, p. 1-6
Rights: Tots els drets reservats
Subject: An脿lisi d鈥檌ntervals (Matem脿tica)
Errors de sistemes (Enginyeria)
Sistemes din脿mics diferenciables
Differentiable dynamical systems
Interval analysis (Mathematics)
System failures (Engineering)
Title: Robust fault detection using consistency techniques for uncertainty handling
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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