Open AccessNoise Reduction Model of Blasting Seismic Wave Signal
Author(s) -
Miao Sun,
Lenan Wu,
Yuan Qi,
Yuchun Zhou,
Chenyang Ma,
Yufeng Wang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/560/1/012055
Subject(s) - noise reduction , noise (video) , hilbert–huang transform , reduction (mathematics) , signal (programming language) , computer science , algorithm , smoothness , acoustics , value noise , noise floor , noise measurement , mathematics , white noise , physics , artificial intelligence , telecommunications , mathematical analysis , geometry , image (mathematics) , programming language
The existence of noise will make the results of time-frequency analysis of blasting seismic wave lack of authenticity. In order to obtain the real blasting vibration characteristics, a method based on the complementary ensemble empirical mode decomposition with adaptive noise and establishing objective function is proposed. The process of noise reduction is divided into three steps. Firstly, the noise signal is decomposed by the complete ensemble empirical mode decomposition with adaptive noise, and the noise reduction algorithm is established based on the intrinsic mode function obtained from the decomposition; secondly, the objective function considering the smoothness of the noise reduction algorithm and its correlation with the measured signal is established; finally, the algorithm corresponding to the optimal solution of the objective function is found, which is the noise reduction model of blasting seismic wave signal. The model is applied to the de-noising of blasting seismic signal, and the de-noising ability of the model is analyzed by the noise reduction error ratio. The analysis results show that the model can reduce the noise of the seismic monitoring signal with noise on the premise of fully preserving the real components of the blasting seismic signal.