An overview of aircraft vibration environment prediction using machine learning
Résumé
• Studying the vibration environment of an aircraft is fundamental to ensure the on-board equipment robustness with respect to vibrations up to 2000 Hz
• Challenge: being predictive with the currently available models is a difficult task in the frequency band of interest
• Proposed approach: to develop data-driven predictive models, based on flight test data and enhanced by physical models
Fichier principal
2023-04-24 - Poster Cambridge - Thèse Stéphane Février.pdf (3.25 Mo)
Télécharger le fichier
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| licence |
Copyright (Tous droits réservés)
|