Discrimination of mine seismic events and blasts using the fisher classifier, naive bayesian classifier and logistic regression
L Dong, J Wesseloo, Y Potvin, X Li - Rock Mechanics and Rock …, 2016 - Springer
Seismic events and blasts generate seismic waveforms that have different characteristics.
The challenge to confidently differentiate these two signatures is complex and requires the …
The challenge to confidently differentiate these two signatures is complex and requires the …
Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models
Correctly distinguishing microseismic and blasting events in underground excavations is
fundamental to subsequent geophysical analysis activities such as rock burst early warning …
fundamental to subsequent geophysical analysis activities such as rock burst early warning …
Review of machine learning and deep learning application in mine microseismic event classification
W **qiang, P Basnet, S Mahtab - Mining of Mineral Deposits, 2021 - ir.nmu.org.ua
Purpose. To put forward the concept of machine learning and deep learning approach in
Mining Engineering in order to get high accuracy in separating mine microseismic (MS) …
Mining Engineering in order to get high accuracy in separating mine microseismic (MS) …
An automatic classification method for microseismic events and blasts during rock excavation of underground caverns
R Jiang, F Dai, Y Liu, M Wei - Tunnelling and Underground Space …, 2020 - Elsevier
Accurately acquiring microseismic (MS) signals is the cornerstone of MS monitoring during
underground rock excavation. This study developed a classification method to automatically …
underground rock excavation. This study developed a classification method to automatically …
High‐accuracy discrimination of blasts and earthquakes using neural networks with multiwindow spectral data
The manual separation of natural earthquakes from mine blasts in data sets recorded by
local or regional seismic networks can be a labor‐intensive process. An artificial neural …
local or regional seismic networks can be a labor‐intensive process. An artificial neural …
An efficient closed-form solution for acoustic emission source location in three-dimensional structures
X Li, L Dong - AIP advances, 2014 - pubs.aip.org
The solution of the problem of locating a signal source using time difference of arrival
(TDOA) measurements has numerous applications in aerospace, surveillance, structural …
(TDOA) measurements has numerous applications in aerospace, surveillance, structural …
A hybrid recognition model of microseismic signals for underground mining based on CNN and LSTM networks
Y Zhao, H Xu, T Yang, S Wang… - … , Natural Hazards and Risk, 2021 - Taylor & Francis
Microseismic (MS) monitoring technology has been widely used to monitor ground pressure
disasters. However, the underground mining environment is complex and contains many …
disasters. However, the underground mining environment is complex and contains many …
Discrimination of quarry blasts from tectonic events in the Armutlu Peninsula, Turkey
Different methods to discriminate between quarry blasts and earthquakes in seismic records
are applied and compared. Test area is the Armutlu Peninsula in northwestern Turkey …
are applied and compared. Test area is the Armutlu Peninsula in northwestern Turkey …