Results 201 to 210 of about 5,315,268 (243)

Automatic recognition of mining microseismic and blasting vibration signals

Physics of Fluids
Microseismic monitoring systems enable real-time acquisition of vibration signals generated by coal and rock fracturing, deriving key parameters (e.g., event time, spatial location, and energy release) via inversion algorithms for rock burst risk prediction in coal mining operations.
Baolin Li, Nan Li, Wenyi Liu, Jiaqi Feng, Shuowei Wang, Xinyu Sun   +5 more
openaire   +1 more source

Sliding Window Based Multi-Scale Morphology for Detecting Microseismic Signal

Proceedings, 2018
Summary Micro-seismic signal is contaminated with strong noise composed of random noise and low-frequency (LF) noise. Signal detection makes it essential way for micro-seismic data processing. Typical methods like band filtering can hardly separate signal and noise and damage signal in some degree.
Y. Zhou, R. Wang, W. Huang, H. Li, J. Zhang, G. Shang   +5 more
openaire   +1 more source

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

Pure and Applied Geophysics, 2023
K. Geetha, M. Hota
semanticscholar   +1 more source

A polarization filter method and applications for preprocessing microseismic signals

2013 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, 2013
The microseismic signal generated in rock rupture is wildly used in oilfields to inverse the seismic source and detect the direction and dimension of formation fractures. However, the SNR of effective signal in seismic events is especially low, and in many cases the onset of P- and S-wave is submerged in various noises. In this paper, we use the method
Xin Fu, Hao Chen, Xiu-Ming Wang
openaire   +1 more source

Microseismic signal denoising using simple bandpass filtering based on normal time–frequency transform

Acta Geophysica, 2023
Yanji Yao, Guocheng Wang, Lintao Liu
semanticscholar   +1 more source

Microseismic signal denoising by combining variational mode decomposition with permutation entropy

Applied Geophysics, 2022
Xing-Li Zhang, Lianyue Cao, Chen Yan, Rui-Sheng Jia, Xin-ming Lu   +4 more
semanticscholar   +1 more source

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

Journal of Supercomputing, 2022
Chongchong Zhang, Yannan Shi, Jiangong Liu, Shuaishuai Jiang, Hanqiu Wang, Yiying Wang   +5 more
semanticscholar   +1 more source

Noise reduction method of microseismic signal of water inrush in tunnel based on variational mode method

Bulletin of Engineering Geology and the Environment, 2021
Li-ping Li, Hao Jin, Yanhao Chen, Shuai Cheng, Huijiang Hu, Sheng Wang   +5 more
semanticscholar   +1 more source

An improved method of local mean decomposition with adaptive noise and its application to microseismic signal processing in rock engineering

Bulletin of Engineering Geology and the Environment, 2021
R. Jiang, M. Wei
semanticscholar   +1 more source

Mine-Microseismic-Signal Recognition Based on Meta-learning

2023
Xiangqi Han, Zedong Lin, Xiaoying Jiang, Shanyou Song   +3 more
openaire   +1 more source