Architecture & Civil Engineering

Optimal Denoising Smooth Model of Underwater Drilling Blasting Seismic Wave Signal

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  • Engineering Research Center of Rock-Soil Drilling & Excavation and Protection of the Ministry of Education∥ Faculty of Engineering,China University of Geosciences,Wuhan 430074,Hubei,China
孙苗(1993-),女,博士生,主要从事水下钻孔爆破理论研究. E-mail:2357152544@ qq. com

Received date: 2018-12-03

  Revised date: 2019-04-02

  Online published: 2019-08-01

Supported by

Supported by the National Natrual Science Foundation of China(41672260)

Abstract

Monitoring environment,testing system and other factors will cause noise in the measured seismic wave signal during the monitoring of underwater drilling blasting seismic wave. In order to obtain the real blasting vibra- tion characteristics,the seismic wave signal of underwater drilling blasting was denoised. Firstly,the complementary ensemble empirical mode decomposition was used to decompose the noisy measured seismic wave signal,and the filtering algorithm was established based on the intrinsic mode function obtained from the decomposition. Then,the objective function considering the smoothness of the filtering algorithm and the standard deviation between the filte- ring algorithm and the measured signal was established. The model corresponding to the optimal solution of the objective function was the optimal denoising smooth model of the underwater drilling blasting seismic wave signal. Finally,the denoising ability of the model was analyzed by the denoising error ratio. The results show that the pro- posed optimal denoising smoothness model of seismic wave signal can be used in underwater drilling blasting signal denoising. The model can denoise the original signal while retaining the true components of the original signal.

Cite this article

SUN Miao WU Li ZHOU Yuchun MA Chenyang WANG Yufeng . Optimal Denoising Smooth Model of Underwater Drilling Blasting Seismic Wave Signal[J]. Journal of South China University of Technology(Natural Science), 2019 , 47(8) : 31 -37 . DOI: 10.12141/j.issn.1000-565X.180601

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