Disturbance Attenuation in Fault Detection of Gas Turbine Engines: A Discrete Robust Observer Design

Dai, Xuewu, Gao, Zhiwei, Breikin, Tim and Wang, Hong (2009) Disturbance Attenuation in Fault Detection of Gas Turbine Engines: A Discrete Robust Observer Design. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 39 (2). pp. 234-239. ISSN 1094-6977

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Official URL: http://dx.doi.org/10.1109/TSMCC.2008.2005845

Abstract

This study is motivated by the onboard fault detection of gas turbine engines (GTEs), where the computation resources are limited and the disturbance is assumed to be band-limited. A fast Fourier transformation (FFT)-based disturbance frequency estimation approach is proposed and performance indexes are improved by integrating such frequency information. Furthermore, in the left eigenvector assignment, both eigenvalues and free parameters are optimized. As illustrated in the application to the actuator fault detection of a GTE, significant improvements are achieved compared to the existing methods. By combining the frequency estimation and eigenvalue optimization, the main contribution of the paper is the reduction of the computation complexity and the avoidance of the local optimal solution due to fixed eigenvalues.

Item Type: Article
Uncontrolled Keywords: actuator fault detection , computation complexity , discrete robust observer design , eigenvalue optimization , eigenvector assignment , fast Fourier transformation-based disturbance frequency estimation approach , performance index
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: EPrint Services
Date Deposited: 15 Sep 2011 09:52
Last Modified: 24 Oct 2017 08:54
URI: http://nrl.northumbria.ac.uk/id/eprint/2195

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