04.1 - Aerospace Grade Materials, Structural Analysis, Fatigue and Damage Tolerance
CONVOLUTIONAL NEURAL NETWORKS ALGORITHMS FOR STRUCTURAL HEALTH MONITORING OF AIRCRAFTS COMPOSITES PANELS
E. Monaco¹, F. Ricci¹; ¹Università di Napoli , Italy
Composite materials replaced metals even in aircrafts primary structures but they can be affected by hidden damages hardly detectable. An SHM system based on sensorised structures and deep neural networks signal analysis methodologies is presented in this paper with the scope of detect and localise delaminations into composites plates.