Disturbance attenuation in fault detection of gas turbine engines: a discrete robust observer design

XUEWU, Dai, ZHIWEI, Gao, BREIKIN, Timofei and HONG, Wang (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), 234-239.

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Official URL: http://dx.doi.org/10.1109/TSMCC.2008.2005845
Link to published version:: 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
Research Institute, Centre or Group: Materials and Engineering Research Institute > Centre for Robotics and Automation > Mobile Machine and Vision Laboratory
Identification Number: 10.1109/TSMCC.2008.2005845
Depositing User: Helen Garner
Date Deposited: 17 Sep 2012 16:25
Last Modified: 17 Sep 2012 16:28
URI: http://shura.shu.ac.uk/id/eprint/6039

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