Results 31 to 40 of about 4,586 (215)

Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network

open access: yesApplied Sciences, 2020
Denoising methods are a highly desired component of signal processing, and they can separate the signal of interest from noise to improve the subsequent signal analyses.
Hang Zhang   +4 more
doaj   +1 more source

Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition

open access: yesFrontiers in Physics, 2023
Microseismic monitoring data may be seriously contaminated by complex and nonstationary interference noises produced by mechanical vibration, which significantly impact the data quality and subsequent data-processing procedure.
Zhichao Yu   +5 more
doaj   +1 more source

Investigating rock mass failure precursors using a multi-sensor monitoring system. Preliminary results from a test-site (Acuto, Italy) [PDF]

open access: yes, 2017
In the last few years, several approaches and methods have been proposed to improve early warning systems for managing risks due to rapid slope failures where important infrastructures are the main exposed elements. To this aim, a multi-sensor monitoring
Fantini, Andrea   +3 more
core   +1 more source

Observations of the seasonality of the Antarctic microseismic signal, and its association to sea ice variability [PDF]

open access: yes, 2011
International audienceSeismic noise spectra at all seismic stations display two peaks in the 1-20 s period band, called primary and secondary microseisms. They are caused by the coupling of ocean waves into Rayleigh waves. At most locations, microseismic
Grob, Mélanie   +2 more
core   +4 more sources

Generation and Propagation of Microseismic Signals from Footsteps [PDF]

open access: yes, 1973
Abstract : A study was conducted to investigate the generation and propagation of microseismic signals from man-walking targets. To illustrate the relation between terrain parameters and Rayleigh wage generation and propagation, the problem was divided into four parts, which were then studied graphically.
Bob O. Benn, Jerry R. Lundien
openaire   +1 more source

A method to estimate the microseismic magnitude based on vector scanning

open access: yes地震科学进展, 2023
The magnitude of a seismic event can be estimated by measuring seismic energy, seismic moment, and relationship between the energy and seismic magnitude (M),etc.
Yanjun Feng, Beiyuan Liang
doaj   +1 more source

Coastal cliff ground motions and response to extreme storm waves [PDF]

open access: yes, 2015
Coastal cliff erosion from storm waves is observed worldwide, but the processes are notoriously difficult to measure during extreme storm wave conditions when most erosion normally occurs, limiting our understanding of cliff processes.
Adam P. Young   +26 more
core   +2 more sources

First observation of paired microseismic signals during solution salt mining

open access: yesFrontiers in Earth Science, 2022
To monitor the status of cavern roof instability induced by solution salt mining, we deployed a surface microseismic monitoring system for Dongxing salt mine, Dingyuan county, China. The microseismic monitoring system consists of 11 three-component geophones installed in shallow holes of 5 m deep.
Jiawei Qian   +9 more
openaire   +2 more sources

Automatic Events Recognition in Low SNR Microseismic Signals of Coal Mine Based on Wavelet Scattering Transform and SVM

open access: yesEnergies, 2022
The technology of microseismic monitoring, the first step of which is event recognition, provides an effective method for giving early warning of dynamic disasters in coal mines, especially mining water hazards, while signals with a low signal-to-noise ...
Xin Fan   +5 more
doaj   +1 more source

An improved method for hydrofracture induced microseismic event detection and phase picking [PDF]

open access: yes, 2010
The ability to detect small microearthquakes and identify their P and S phase arrivals is a key issue in hydrofracture downhole monitoring because of the low signal-to-noise ratios. We apply an array-based waveform correlation approach (matched filter)
Ay, Erkan   +4 more
core   +1 more source

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