In situ damage monitoring in timber materials: acoustic emission pattern recognition approach based on Hilbert–Huang transform

Author(s): S.E. Hamdi, M. Diakhaté, R. Moutou Pitti, F. Dubois, A. Chateauneuf
Paper category: Proceedings
Book title: Proceedings of the 1st International Conference on Bio-based Building Materials
Editor(s): Sofiane Amziane and Mohammed Sonebi
e-ISBN: 978-2-35158-154-4
Publisher: RILEM Publications SARL
Publication year: 2015
Pages: 445-448
Total Pages: 4
Language : English

Abstract: A key part of structural damage monitoring occurring in timber materials aims to identify the most relevant descriptors of critical damage mechanisms. The sudden release of stored energy during the damage process, known as the Acoustic Emission (AE), is a very suitable technique for in situ health monitoring applications. Various signal processing and pattern recognition techniques have been performed for damage feature extraction from AE signals. The purpose of this paper is to use the Hilbert–Huang transform (HHT), for relating a specific damage mechanism to its acoustic signature. The applicability of this local instantaneous frequency descriptor for damage characterization in timber materials is discussed. First, the HHT is used to identify the damage signature, by correlating the measured AE signals with known acoustic sources. Then, the performance of the Hilbert–Huang transform damage classification approach is evaluated.

Online publication : 2015
Publication type : full_text
Public price (Euros) : 0.00