Diagnosis of fuel pump measurement bias in gas turbine engines

Authors:
D. D. Santoso;S. M. Hargrave;T. V. Breikin;H. A. Thompson;P. J. Fleming
Affiliations:
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;School of Engineering, Coventry University, Coventry, UK;School of Electronic Engineering, University of Manchester, Manchester, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
Venue:
International Journal of Systems Science
Year:
2007

Citing 3
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Abstract

This article presents an approach for identification of measurement bias within the fuel pump of a gas turbine engine using principal component analysis and partial least squares approaches. These techniques are used to categorise the levels of deterioration experienced by the engine in order to improve the diagnosis of any measurement bias. This work illustrates that principal component analysis can provide a good estimation of fuel pump measurement bias in a gas turbine engine and improve efficiency of flight by more accurate measurement of fuel. Different methods are investigated to find the best adaptation of principal component analysis for diagnosis of fuel pump measurement bias, which provides robust estimation of engine deterioration and expected fuel flow to the engine.