基于CEEMDAN-小波包自适应阈值混凝土声发射信号降噪研究

摘要
图/表
参考文献(18)
相关文章 (15)

全文: PDF (6290 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要为了得到更加纯净的混凝土声发射(acoustic emission ,AE)信号来更准确地监测混凝土结构破裂过程，提出了一种完全自适应噪声集合经验模态分解（complete ensemble empirical mode decomposition ,CEEMDAN）与小波包自适应阈值联合方法对循环荷载作用下的混凝土声发射信号进行降噪处理，运用信噪比和快速傅里叶变化（fast Fourier transform ,FFT）分析来验证所用方法的可行性。试验结果表明：结合CEEMDAN-小波包自适应阈值对混凝土声发射信号进行降噪的效果较好，能有效地保留混凝土声发射信号特征信息，对混凝土声发射信号降噪提供新的思路，为后续利用声发射信号分析混凝土结构内部微裂纹扩展及演化特征奠定基础。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	杨智中1
	林军志1
	汪魁1
	程梓益2
	刘攀1

关键词 ：循环荷载, 混凝土声发射信号, CEEMDAN, 小波包自适应阈值降噪, 快速傅里叶变换

Abstract：In order to obtain purer concrete acoustic emission (AE) signals to monitor the fracture process of concrete structures more accurately, a complete ensemble empirical mode decomposition (CEEMDAN) combined with wavelet packet adaptive threshold method is proposed to reduce the noise of concrete AE signals under cyclic load. Signal-Noise Ratio (SNR) and fast Fourier transform (FFT) analysis are used to verify the feasibility of the method. The experimental results show that the noise reduction effect of concrete AE signal combined with CEEMDAN- wavelet packet adaptive threshold is better, which can effectively retain the characteristic information of concrete AE signal, and provide a new idea for concrete AE signal denoising, which lays a foundation for the subsequent use of AE signal to analyze the propagation and evolution characteristics of micro-cracks in concrete structure.

Key words： Cyclic load Concrete AE signal complete ensemble empirical mode decomposition （CEEMDAN） Wavelet packet adaptive threshold denoising fast Fourier transform (FFT)

收稿日期: 2021-12-20 出版日期: 2023-02-15

引用本文:

杨智中1，林军志1，汪魁1，程梓益2，刘攀1. 基于CEEMDAN-小波包自适应阈值混凝土声发射信号降噪研究[J]. 振动与冲击, 2023, 42(3): 139-149.
YANG Zhizhong1, LIN Junzhi1, WANG Kui1, CHENG Ziyi2, LIU Pan1. De-noising of concrete acoustic emission signals based on CEEMD-wavelet packet adaptive threshold. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(3): 139-149.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I3/139

[1] 陈玉华, 刘时风, 耿荣生, 等. 声发射信号的谱分析和相关分析[J]. 无损检测, 2002, (9): 395-399.
Chen Yu-hua, LIU Shi-feng, GENG Rong-sheng, et al. Spectral Analysis and Correlation Analysis of Acoustic Emission Signal [J]. Nondestructive Testing, 2002, (9): 395-399.
[2] CHAO TUNG, HENRY H. LIU. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society A 1998: 903-995.
[3] WU Z H, HUANG N E. Ensemble empirical mode decomposition: a noise assisted date analysis method[J]. Advances in Adaptive Data Analysis，2009，1(1)：1-41.
[4] TORRES M E，COLOMINAS M A，SCHLOTTHAUER G，et al．Acomplete ensemble empirical mode decomposition with adaptive noise [C] / / IEEE International Conference on Acoustics,Speech and Signal Processing，IEEE，2011: 4144－4147．
[5] 杨丽娟, 张白桦, 叶旭桢. 快速傅里叶变换FFT及其应用[J]. 光电工程, 2004(S1): 1-3, 7.
Yang Li-juan, ZHANG Bai-hua, Ye Xu-zhen. Fast Fourier Transform FFT and its application [J]. Opto-electronic Engineering, 2004(S1): 1-3, 7.
[6] 边海龙, 陈光䄔. 基于短时傅里叶变换检测非平稳信号的频域内插优化抗混叠算法[J]. 仪器仪表学报, 2008(2): 284-288.
Bian Hai-long, Chen Guang-ju. Frequency-domain Interpolation Optimization anti-aliasing Algorithm for Non-stationary Signal Detection Based on Short-time Fourier Transform [J]. Chinese Journal of Scientific Instrument, 2008(2): 284-288.
[7] 周宇峰, 程景全. 小波变换及其应用[J]. 物理, 2008(1): 24-32.
Zhou Yu-feng, Cheng Jing-quan. Wavelet transform and its application [J]. Physics, 2008(1): 24-32.
[8] YU W，ZHAO L Y. Gravity data signal-noise separationmethod based on CEEMD and wavelet packet transform [J]. Software，2015，36(2) : 49-54.
[9] 杨孟, 王瑾, 周西峰, 等. 基于CEEMD和小波包的降噪方法研究[J]. 南京邮电大学学报(自然科学版), 2018, 38(2): 41-47.
Yang Meng, Wang Jin, Zhou Xi-feng, et al. Research on noise reduction method based on CEEMD and wavelet packet [J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2018, 38(2): 41-47.
[10] 王姣, 李振春, 王德营. 基于CEEMD的地震数据小波阈值降噪方法研究[J]. 石油物探，2014，53(2)：164-172.
Wang Jiao, Li Zhen-chun, Wang De-ying. Research on wavelet threshold de-noising method of seismic data based on CEEMD [J]. Geophysical Prospecting for Petroleum, 2014, 53(2): 164-172.
[11] 程梓益. 周期荷载下混凝土声发射特性试验研究[D]. 重庆:重庆交通大学,2021.
Cheng Zi-yi. Experimental study on acoustic emission characteristics of concrete under cyclic loading [D]. Chongqing: Chongqing Jiaotong University, 2021.
[12] 王海龙,赵岩,王海军,等. 基于CEEMDAN-小波包分析的隧道爆破信号降噪方法[J]. 爆炸与冲击, 2021, 41(5): 125-137.
WANG Hai-long, ZHAO Yan, Wang Hai-jun, et al. Tunnel Blasting Signal De-noising Method Based on CeEMDAN-Wavelet Packet Analysis [J]. Explosion and Shock Waves, 2021, 41(5): 125-137.
[13] Mitrakovic D, Grabec I, Sedmak S. Simulation of AE signals and signal analysis systems [J]. Ultrasonics，1985，23(5)：227-232.
[14] 赵奎, 杨道学, 曾鹏, 等. 基于EEMD-SCBSS的岩石声发射信号降噪方法[J]. 振动与冲击, 2021, 40(5): 179-185, 210.
ZHAO Kui, Yang Dao-xue, ZENG Peng, et al. Rock Acoustic Emission Signal De-noising Method based on EEMD-SCBSS [J]. Journal of Vibration and Shock, 2021, 40(5): 179-185, 210.
[15] 苗玉杰. 岩石声发射信号处理小波基选择的探讨[J]. 计算机光盘软件与应用, 2013, 16(6): 15-17.
Miao Yu-jie. Discussion on the selection of wavelet basis for rock acoustic emission signal processing [J]. Computer CD Software and Application, 2013, 16(6): 15-17.
[16] 赖于树, 熊燕, 程龙飞. 受载混凝土破坏全过程声发射信号频带能量特征[J]. 振动与冲击, 2014, 33(10): 177-182.
Lai Yu-shu, Xiong Yan, Cheng Long-fei. Energy characteristics of acoustic emission signal frequency band in the whole process of concrete failure [J]. Journal of vibration and shock,2014,33(10): 177-182.
[17] 王孝政, 彭刚, 罗曦, 等. 混凝土单轴循环加卸载试验及声发射特性[J]. 水利水运工程学报, 2016( 4): 92-97.
WANG Xiao-zheng, PENG Gang, LUO Xi, et al. Concrete under uniaxial cyclic loading and unloading test and acoustic emission characteristics[J]. Hydro-Science and Engineering, 2016( 4): 92-97.
[18] 纪洪广, 侯兆飞, 张磊, 等. 混凝土材料声发射信号的频率特性及其与强度参量的相关性试验研究[J]. 应用声学, 2011, 30( 2) : 112-117.
JI Hong-guang, HOU Zhao-fei, ZHANG lei, et al. Experimental studies on the frequency characteristics of acoustic emissions in concrete material and its dependences on strength parameters[J]. Applied Acoustics, 2011, 30( 2) : 112 － 117.