Linear smoothing of FRF for aicraft engine vibration monitoring
Résumé
The problem of aircraft engine condition monitoring based on vibration signals is addressed. To do so, we compare two estimators of the Frequency Response Function of an aircraft engine which input is its shaft angular position and which output is an accelerometric signal that measures vibrations. It is shown that this problem can be seen as a smoothing problem, and that linear kernel smoothing such as Gaussian Process Regression allows the computation of the FRF
Domaines
Applications [stat.AP]| Origine | Fichiers produits par l'(les) auteur(s) |
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