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.

Full text not available from this repository.

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 - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.1109/TSMCC.2008.2005845
Page Range:	234-239
Depositing User:	Helen Garner
Date Deposited:	17 Sep 2012 15:25
Last Modified:	19 Mar 2021 00:01
URI:	https://shura.shu.ac.uk/id/eprint/6039

Actions (login required)

View Item

Downloads

Publication Metrics