Feature Extraction of Composite Damage on Acoustic Emission Signals
Abstract: The aim of this
study was to develop efficient methods to discriminate different damage
mechanisms of composite. For this purpose, integration of Empirical Mode
Decomposition (EMD) method and Hilbert-Huang Transform (HHT) was applied to
define more relevant time-frequency descriptors. A complete methodology for the
post-processing of the acoustic emission (AE) waveforms recorded during the quasi-static
tension test of carbon fiber twill weave composite material was established in
this work. AE signal is decomposed into several IMF components by means of EMD
algorithm. The EMD can detach and extract all damage modes which consist in an
AE signal. The HHT provide instantaneous frequencies in time-scale of an AE
signal, which can be used as a new time-frequency descriptors of composite
damage modes.
Author: Han Wen Qin, Zhou Jin
Yu
Journal Code: jptkomputergg130109
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