Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-020-4530-8.pdf
Reference43 articles.
1. ZHANG Chu-xuan, LI Xi-bing, DONG Long-jun, MA Ju, HUANG Lin-qi. Analysis of microseismic activity parameters pre- and post roof caving and early warning [J]. Chinese Journal of Rock Mechanics & Engineering, 2016, 35: 3214–3221. DOI: https://doi.org/10.13722/j.cnki.jrme.2015.0928.
2. XU Nu-wen, LIANG Zheng-zhao, TANG Chun-an, DAI Feng, ZHOU Zhong, SHA Chun. Three-dimensional feedback analysis of rock slope stability based on microseismic monitoring [J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33: 3093–3014. DOI: https://doi.org/10.13722/j.cnki.jrme.2014.s1.071.
3. MONDAL D, ROY P N S. Fractal and seismic b-value study during dynamic roof displacements (roof fall and surface blasting) for enhancing safety in the longwall coal mines [J]. Engineering Geology, 2019, 253: 184–204. DOI: https://doi.org/10.1016/j.enggeo.2019.03.018.
4. GONG Feng-qiang, SI Xue-feng, LI Xi-bing, WANG Shan-yong. Experimental investigation of strain rockburst in circular caverns under deep three-dimensional high-stress conditions [J]. Rock Mechanics and Rock Engineering, 2019, 52(4): 1459–1474. DOI: https://doi.org/10.1007/s00603-018-1660-5.
5. MA Tian-hui, TANG Chun-an, TANG Shi-bin, KUANG Liang, YU Qun, KONG De-qing, ZHU Xu. Rockburst mechanism and prediction based on microseismic monitoring [J]. International Journal of Rock Mechanics and Mining Sciences, 2018, 110: 177–188. DOI: https://doi.org/10.1016/j.ijrmms.2018.07.016.
Cited by 67 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. A Machine-Learning-Based Method for Identifying the Failure Risk State of Fissured Sandstone under Water–Rock Interaction;Sensors;2024-09-04
4. Dynamic stress characterization and instability risk identification using multisource acoustic signals in cut-and-fill stopes;Scientific Reports;2024-07-17
5. Intelligent Recognition of Valid Microseismic Events Based on Self-supervised Learning;Measurement;2024-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3