Reference : A Methodology to Improve the Robustness of Gas Turbine Engine Performance Monitoring ...
Scientific journals : Article
Engineering, computing & technology : Energy
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/138882
A Methodology to Improve the Robustness of Gas Turbine Engine Performance Monitoring Against Sensor Faults
English
Dewallef, Pierre mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Systèmes de conversion d'énergie pour un dévelop.durable >]
Borguet, Sébastien mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
23-Apr-2013
Journal of Engineering for Gas Turbines and Power
ASME
135
5
Yes (verified by ORBi)
International
0742-4795
1528-8919
New-York
USA
[en] Performance monitoring ; Sensor faults ; Robust System Identification
[en] For turbine engine performance monitoring purposes, system identification techniques are often used to adapt a turbine engine simulation model to some measurements performed while the engine is in service. Doing so, the simulation model is adapted through a set of so-called health parameters whose values are intended to represent a faithful image of the actual health condition of the engine. For sake of low computational burden, the problem of random errors contaminating the measurements is often considered to be zero-mean, white and Gaussian random variables. However, when a sensor fault occurs, the measurement errors no longer satisfy the Gaussian assumption and the results given by the system identification rapidly become unreliable. The present contribution is dedicated to the development of a diagnosis tool based on a Kalman filter whose structure is slightly modified in order to accommodate sensor malfunctions. The benefit in terms of the diagnostic reliability of the resulting tool is illustrated on several sensor faults that may be encountered on a current turbofan layout.
Laboratoire de Thermodynamique
Researchers ; Professionals
http://hdl.handle.net/2268/138882
10.1115/1.4007976

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