Article (Scientific journals)
Adaptive estimation algorithm for aircraft engine performance monitoring
Léonard, Olivier; Borguet, Sébastien; Dewallef, Pierre
2008In Journal of Propulsion and Power, 24 (4), p. 763-769
Peer reviewed
 

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Keywords :
turbine engine performance monitoring; system identification procedures; simulation model
Abstract :
[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.
Disciplines :
Aerospace & aeronautics engineering
Mechanical engineering
Author, co-author :
Léonard, Olivier ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Borguet, Sébastien ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Dewallef, Pierre ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes de conversion d'énergie pour un dévelop.durable
Language :
English
Title :
Adaptive estimation algorithm for aircraft engine performance monitoring
Publication date :
July 2008
Journal title :
Journal of Propulsion and Power
ISSN :
0748-4658
eISSN :
1533-3876
Publisher :
American Institute of Aeronautics and Astronautics, United States
Volume :
24
Issue :
4
Pages :
763-769
Peer reviewed :
Peer reviewed
Available on ORBi :
since 26 August 2009

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