gas path analysis; frequency domain; least-squares
Résumé :
[en] Most of the techniques developed to date for module performance analysis rely on steady-state measurements from a single operating point to evaluate the level of deterioration of an engine.
One of the major difficulties associated with this estimation problem comes from its underdetermined nature. It results from the fact that the number of health parameters exceeds the number of available sensors. Among the panel of remedies to this issue, a few authors have investigated the potential of using
data collected during a transient operation of the engine. A major outcome of these studies is an Improvement in the assessed health condition.
The present contribution proposes a framework that formalises this observation for a given class of input signals. The analysis is performed in the frequency domain, following the lines of system identification theory. More specifically, the meansquared estimation error is shown to drastically decrease when
using transient input signals. The study is conducted with an engine model representative of a commercial turbofan.
Disciplines :
Ingénierie aérospatiale Ingénierie mécanique
Auteur, co-auteur :
Borguet, Sébastien ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Henriksson, Mattias; Volvo Aero Corporation AB > Performance and Control Systems
Mc Kelvey, Tomas; Chalmers University of Technology > Signals and Systems
Léonard, Olivier ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Langue du document :
Anglais
Titre :
A study on engine health monitoring in the frequency domain
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