De-noising of concrete acoustic emission signals based on CEEMD-wavelet packet adaptive threshold

被引：0
|
作者：
Yang Z. [1 ]
Lin J. [1 ]
Wang K. [1 ]
Cheng Z. [2 ]
Liu P. [1 ]
机构：
[1] Key Laboratory of Hydraulic and Waterway Engineering, The Ministry of Education, Chongqing Jiaotong University, Chongqing
[2] Chongqing Municipal Research Institute of Design, Chongqing
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 03期
关键词：
complete ensemble empirical mode decomposition (CEEMDAN); concrete acoustic emission (AE) signal; cyclic load; fast Fourier transform (FFT); wavelet packet adaptive threshold denoising;
D O I：
10.13465/j.cnki.jvs.2023.03.016
中图分类号：
学科分类号：
摘要：
Here, to obtain more pure concrete acoustic emission (AE) signals for more correctly monitoring concrete structure fracture process, a method based on complete ensemble empirical mode decomposition (CEEMDAN)-wavelet packet adaptive threshold was proposed to denoise concrete AE signals under cyclic load. The feasibility of the proposed method was verified by using signal to noise ratio (SNR) and fast Fourier transform (FFT) analysis. The test results showed that the proposed method to combine CEEMDAN and wavelet packet adaptive threshold has a better denoising effect on concrete AE signals; it can effectively retain feature information of concrete AE signals, provide a new idea for denoising concrete AE signals, and lay a foundation for further using AE signals to analyze expanding and evolution characteristics of microcracks in concrete structures. © 2023 Chinese Vibration Engineering Society. All rights reserved.
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页码：139 / 149
页数：10
相关论文
共 18 条
  • [1] CHEN Yuhua, LIU Shifeng, GENG Rongsheng, Et al., Spectral analysis and correlation analysis of acoustic emission signal [J], Nondestructive Testing, 24, 9, pp. 395-399, (2002)
  • [2] HUANG N E, SHEN Z, LONG S R, Et al., The empirical mode decomposition and the Hilhert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the Royal Society A, 454, pp. 903-995, (1998)
  • [3] WU Z H, HUANG N E., Ensemble empirical mode decomposition
  • [4] a noise assisted date analysis method [J], Advances in Adaptive Data Analysis, 1, 1, pp. 1-41, (2009)
  • [5] TORRES M E, COLOMINAS M A, SCHLOTTHAUER G, Et al., Acomplete ensemble empirical mode decomposition with adaptive noise, IEEE International Conference on Acoustics, Speech and Signal Processing, (2011)
  • [6] YANG Lijuan, ZHANG Baihua, YE Xuzhen, Fast Fourier transform FFT and its application, Opto-electronic Engineering, pp. 1-3, (2004)
  • [7] BIAN Hailong, CHEN Guangfu, Frequency-domain interpolation optimization anti-aliasing algorithm for non-stationary signal detection based on short-time Fourier transform [J], Chinese Journal of Scientific Instrument, 29, 2, pp. 284-288, (2008)
  • [8] ZHOU Yufeng, CHENG Jingquan, Wavelet transform and its application [J], Physics, 1, pp. 24-32, (2008)
  • [9] YU W, ZHAO L Y., Gravity data signal-noise separation method based on CEEMD and wavelet packet transform [J], Software, 36, 2, pp. 49-54, (2015)
  • [10] YANG Meng, WANG Jin, ZHOU Xifeng, Et al., Research on noise reduction method based on CEEMD and wavelet packet, Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 38, 2, pp. 41-47, (2018)
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