Reference : Adaptive estimation algorithm for aircraft engine performance monitoring
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/19950
Adaptive estimation algorithm for aircraft engine performance monitoring
English
Léonard, Olivier mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Borguet, Sébastien mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Dewallef, Pierre mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Systèmes de conversion d'énergie pour un dévelop.durable >]
Jul-2008
Journal of Propulsion and Power
American Institute of Aeronautics and Astronautics
24
4
763-769
Yes
International
0748-4658
USA
[en] turbine engine performance monitoring ; system identification procedures ; simulation model
[en] In the frame of turbine engine performance monitoring, system identification procedures are often used to adapt a simulation model of the engine to some observed data through a set of so-called health parameters. Doing so, the values of these health parameters are intended to represent the actual health condition of the engine. The Kalman filter has been widely used to achieve the identification procedure in real-time onboard applications. However, to achieve a proper filtering of the measurement noise, the health parameters are often assumed to vary in time relatively slowly, preventing any abrupt accidental events from being tracked effectively. This contribution presents a procedure called adaptive filtering. Based on a covariance-matching method, it is intended to automatically release the health parameters once an accidental event is detected. This enables the Kalman filter to deal with both continuous and abrupt fault conditions.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/19950
10.2514/1.34320

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