A Machine Learning Framework for Fault Detection, Isolation, and Severity Prediction of Autonomous VTOL Aircraft
A convolutional neural network architecture is developed to learn spatio-temporal patterns from multivariate flight dynamics, enabling direct inference of both the faulty rotor and its damage level and supporting real-time health monitoring for autonomous VTOL systems.
Rippon Sarker, P. Dabaghian, A. Halder et al.
· Proceedings of the Vertical... · 0 citations