Reference : Comparison of Adaptive Filtering Schemes for Gas Turbine Performance Diagnostics

	Document type :	Scientific congresses and symposiums : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Mechanical engineering Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Computer science Engineering, computing & technology : Aerospace & aeronautics engineering
	To cite this reference:	http://hdl.handle.net/2268/20875

Title :	Comparison of Adaptive Filtering Schemes for Gas Turbine Performance Diagnostics
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 :	2008
Journal title :	Proceedings of the 4th International Conference on Advanced Computational Methods in Engineering
Audience :	International
Event name :	Fourth International Conference on Advanced Computational Methods in Engineering (ACOMEN'08)
Event date :	26-28 May 2008
Event organizer :	University of Liège
Event place (city) :	Liège
Event country :	Belgium
Keywords :	[en] Kalman filters ; turbine engine community ; health monitoring purpose ; track gradual deterioration ; components
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 recognising 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/2268/20875

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