Reference : Comparison of Adaptive Filtering Schemes for Gas Turbine Performance Diagnostics
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Computer science
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/20875
Comparison of Adaptive Filtering Schemes for Gas Turbine Performance Diagnostics
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 >]
2008
Proceedings of the 4th International Conference on Advanced Computational Methods in Engineering
No
International
Fourth International Conference on Advanced Computational Methods in Engineering (ACOMEN'08)
26-28 May 2008
University of Liège
Liège
Belgium
[en] Kalman filters ; turbine engine community ; health monitoring purpose ; track gradual deterioration ; components
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/20875

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