Damage Classification in Aeronautic Structures using Guided Waves

Abstract

A composite aircraft door surround structure with an integrated SHM network has been manufactured. The structure has been impacted creating realistic damages such as skin delaminations and stringer debondings. The guided wave signal has been acquired using the SHM-network, allowing the subsequent damage identification. The presented work focuses on the classification of different types of damage using a data-driven approach. The method focuses on feature selection and a Support Vector Machine (SVM) algorithm for damage classification. The results show a SVM algorithm capable of distinguishing between three damage types.