Reference : Comparison of adaptive filters for gas turbine performance monitoring
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Physics
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/19941
Comparison of adaptive filters for 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 >]
2010
Journal of Computational & Applied Mathematics
Elsevier Science
234
7
2202-2212
Yes (verified by ORBi)
International
0377-0427
Amsterdam
The Netherlands
[en] Kalman filters ; gas path analysis ; adaptive estimation ; Generalised Likelihood Ratio ; covariance matching
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/19941
10.1016/j.cam.2009.08.075

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