Classification of mine blasts and microseismic events using starting-up features in seismograms-Reference-Cited by-同舟云学术

Classification of mine blasts and microseismic events using starting-up features in seismograms

Published:2015-10 Issue:10 Volume:25 Page:3410-3420
ISSN:1003-6326
Container-title:Transactions of Nonferrous Metals Society of China
language:en
Short-container-title:Transactions of Nonferrous Metals Society of China

Author:

ZHAO Guo-yan,MA Ju,DONG Long-jun,LI Xi-bing,CHEN Guang-hui,ZHANG Chu-xuan

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics

Reference40 articles.

1. Review of microseismic technology and its application [J];LIU;Progress in Geophysics,2013

2. Discuss on microseismic monitoring technology and its application to underground projects [J];LI;Chinese Journal of Underground Space and Engineering,2009

3. Efficient mine microseismic monitoring [J];GE;International Journal of Coal Geology,2005

4. Research of multi-channel microseismic monitoring system and its application to Fankou lead-zinc mine [J];LI;Chinese Journal of Rock Mechanics and Engineering,2005

5. Microseismic monitoring system establishment and its application study in Hongtoushan copper mine [J];ZHAO;Journal of Northeastern University: Natural Science,2008

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid deep learning-based identification of microseismic events in TBM tunnelling;Measurement;2024-10

2. Research on microseismic signal identification through data fusion;Computers & Geosciences;2024-10

3. Intelligent Recognition of Valid Microseismic Events Based on Self-supervised Learning;Measurement;2024-07

4. Deep Neural Network for Distinguishing Microseismic Signals and Blasting Vibration Signals Based on Deep Learning of Spectrum Features;Journal of Earthquake Engineering;2024-06-10

5. Automatic early warning of rockbursts from microseismic events by learning the feature-augmented point cloud representation;Tunnelling and Underground Space Technology;2024-05