Micro-Scale Damage Detection in Metals Using Vibration Based Analysis and Neural Networks
D.T. Chettiar (TU Delft - Aerospace Engineering)
V. Yaghoubi Nasrabadi – Mentor (TU Delft - Aerospace Engineering)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This study investigates the detection of micro-scale damage in metallic structures using neural networks with sparse sensor configurations and a limited number of training samples. The performance of different neural network architectures is compared for damage detection, complemented by a vibration-based damage metric for damage localization.