Reference : A Generalized Likelihood Ratio Test for Adaptive Gas Turbine Performance Monitoring
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/19947
A Generalized Likelihood Ratio Test for Adaptive Gas Turbine Performance Monitoring
English
Borguet, Sébastien mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Léonard, Olivier mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Jan-2009
Journal of Engineering for Gas Turbines & Power
American Society of Mechanical Engineers
131
1
Yes (verified by ORBi)
International
0742-4795
New York
NY
[en] gas path analysis, ; adaptive estimation
[en] Kalman filters are widely used in the turbine engine community for health monitoring purposes. This algorithm has proven its capability to track gradual deterioration with good accuracy. On the other hand, its response to rapid deterioration is a long delay in recognizing the fault and/or a spread of the estimated fault on several components. The main reason for this deficiency lies in the transition model of the parameters that is blended in the Kalman filter and assumes a smooth evolution of the engine condition. This contribution reports the development of an adaptive diagnosis tool that combines a Kalman filter and a secondary system that monitors the residuals. This auxiliary component implements a generalized likelihood ratio test in order to detect and estimate all abrupt fault. The enhancement in terms of accuracy and reactivity brought by this adaptive Kalman filter is highlighted for a variety of simulated fault cases that may be encountered on a commercial aircraft engine. [DOI: 10.1115/1.2967493]
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/19947
10.1115/1.2967493

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