Results 171 to 180 of about 5,383,519 (211)

Microseismic Signal Denoising Based on Variational Mode Decomposition With Adaptive Non-local Means Filtering

Pure and Applied Geophysics, 2023
K Geetha, Malaya Kumar Hota, Hota Malaya Kumar   +2 more
exaly   +2 more sources

Microseismic signal denoising by combining variational mode decomposition with permutation entropy

Applied Geophysics, 2022
Jia Rui-Sheng, Xingli Zhang, Rui-Sheng Jia   +2 more
exaly   +2 more sources

A denoising method of mine microseismic signal based on NAEEMD and frequency-constrained SVD

Journal of Supercomputing, 2022
Chongchong Zhang, Yannan Shi, Yiying Wang   +2 more
exaly   +2 more sources

Digitalization of Rock Fracture Signal Identification From Tunnel Microseismic Data

IEEE Geoscience and Remote Sensing Letters
Microseismic monitoring technology serves as an effective means of providing early warning signs of rockburst, a type of disaster that poses a serious threat to life safety in tunnels.
Yaxun Xiao, Jianing Guo, Shujie Chen, Liu Liu, Bingrui Chen   +4 more
openaire   +2 more sources

A first arrival detection method for low SNR microseismic signal

Acta Geophysica, 2018
Most of the microseismic signals have low signal-to-noise ratio (SNR) due to the strong background noise, which makes it difficult to locate the first arrival time. Both accuracy and stability of conventional methods are poor in this situation. To overcome this problem, here we proposed a new method based on the adaptive Morlet wavelet and principal ...
Ruiqing Hu, Yanchun Wang
openaire   +2 more sources

An efficiently designed CNN-Transformer fusion network for automatic and real-time microseismic signal classification

Tunnelling and Underground Space Technology
Feng Dai, Mingdong Wei
exaly   +2 more sources

Microseismic Signal Reconstruction From Strong Complex Noise Using Low-Rank Structure Extraction and Dual Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2023
Microseismic signal reconstruction from complex nonrandom noise is challenging, especially when the signal is disrupted or completely covered by strong field noise.
Chao Zhang, M. Baan
semanticscholar   +1 more source

Automatic microseismic signal classification for mining safety monitoring using the WaveNet classifier

Geophysical Prospecting, 2023
Microseismic monitoring is a promising method for the safety monitoring of underground mines. However, it is crucial to isolate microseismic signals related to the collapse of a mine from others for successful monitoring because the monitoring system ...
Woo-Young Choi, S. Pyun, D. Cheon
semanticscholar   +1 more source

Microseismic signal of a spring gravimeter

Measurement Techniques, 2007
It is shown that a spring gravimeter responds to microseisms with a pseudo-gravitational signal. Mathematical description of this signal is provided.
V. P. Dedov, V. M. Dorokhin, A. I. Kalenitskii, B. P. Filimonov   +3 more
openaire   +1 more source

Spectral Evaluation of Microseismic Signals

68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006, 2006
Spectral evaluation is a very important operation in the processing of microseismic signals. In this poster we consider the microseismic signals that can be recorded at a point from the Earth’s surface as a random process (signal) with many realizations and we present a methodology for the evaluation and statistical stabilization of its frequency ...
V. Bardan, D. Zugravescu, L. Asimopolos
openaire   +1 more source