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A wavelet-based multivariable approach for fault detection in dynamic systems

Title:

A wavelet-based multivariable approach for fault detection in dynamic systems

Paiva, Henrique Mohammel and Galvao, Roberto Kawakami Harrop and Rodrigues, Luis (2009) A wavelet-based multivariable approach for fault detection in dynamic systems. Sba Controle & Automação, 20 (4). ISSN 0103-1759

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Abstract

This paper presents a multivariable extension to a recently proposed wavelet-based technique for fault detection. In the original formulation, the Discrete Wavelet Transform is used to carry out dynamic consistency checks between pairs of signals within frequency subbands. For this purpose, moving average models with an integrative term are employed to reproduce the dynamics of the system in each subband under consideration. The present work introduces a new architecture allowing the use of subband models with more general multivariable structures. More specifically, a multivariable ARX (autoregressive with exogenous input) structure is adopted for each subband model. The proposed technique is illustrated in a case study involving a nonlinear simulation model for an aircraft with a sensor fault. The results show that the multivariable approach outperforms the original formulation in terms of residue amplification following the fault onset.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Article
Refereed:Yes
Authors:Paiva, Henrique Mohammel and Galvao, Roberto Kawakami Harrop and Rodrigues, Luis
Journal or Publication:Sba Controle & Automação
Date:2009
ID Code:974883
Deposited By:ANDREA MURRAY
Deposited On:09 Oct 2012 16:01
Last Modified:09 Oct 2012 16:01
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