Reference : Comparison of adaptive filters for gas turbine performance monitoring

	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Physics Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Mechanical engineering Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/2268/19941

Title :	Comparison of adaptive filters for gas turbine performance monitoring
Language :	English
Author, co-author :	Borguet, Sébastien [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
	Léonard, Olivier [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Publication date :	2010
Journal title :	Journal of Computational & Applied Mathematics
Publisher :	Elsevier Science
Volume :	234
Issue/season :	7
Pages :	2202-2212
Audience :	International
ISSN :	0377-0427
City :	Amsterdam
Country :	The Netherlands
Keywords :	[en] Kalman filters ; gas path analysis ; adaptive estimation ; Generalised Likelihood Ratio ; covariance matching
Abstract :	[en] Kalman filters are widely used in the turbine engine community for health monitoring purpose. This algorithm has proven its capability to track gradual deterioration with a good accuracy. On the other hand, its response to rapid deterioration is either a long delay in recognizing the fault, and/or a spread of the estimated fault on several components. The main reason of this deficiency lies in the transition model of the parameters that assumes a smooth evolution of the engine condition. The aim of this contribution is to compare two adaptive diagnosis tools that combine a Kalman filter and a secondary system that monitors the residuals. This auxiliary component implements on one hand a covariance matching scheme and on the other hand a generalised likelihood ratio test to improve the behaviour of the diagnosis tool with respect to abrupt faults.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/19941
DOI :	10.1016/j.cam.2009.08.075

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