Study on Acoustic Emission Damage Signal Denoising of 2D-C/SiC Composites

Yinling Wang, Huacong Li

科研成果: 期刊稿件会议文章同行评审

2 引用 (Scopus)

摘要

In the process of damage test of carbon fiber composites, the acoustic emission signal is affected by the measurement conditions and external environment, which contains a lot of noise problems. A denoising method based on wavelet threshold is proposed. Based on the analysis of the burst signal and continuous signal of carbon fiber composite, the wavelet analysis method is theoretically studied firstly. The selection criterion of wavelet base and the selection of wavelet decomposition layer are discussed theoretically, in order to solve the threshold of wavelet threshold denoising. A high-order non-conductible problem, a soft threshold function is proposed. Finally, the denoising experiments are carried out on the burst signal and the continuous signal respectively. The effects of different basis functions and different decomposition layers on the signal-to-noise ratio are compared. Finally, the optimal wavelet basis functions and the number of decomposition layers are obtained, which makes the denoising effect optimal.

源语言英语
文章编号012008
期刊Journal of Physics: Conference Series
1510
1
DOI
出版状态已出版 - 21 5月 2020
活动2019 10th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2019 - Bangkok, 泰国
期限: 26 12月 201928 12月 2019

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