[1] 卢新明,阚淑婷.煤矿动力灾害本源预警方法关键技术与展望[J].煤炭学报,2020,45(增1):128-139. LU Xinming, KAN Shuting. Key technology andprospect of the original source early warning method forcoal mine dynamic disaster[J]. Journal of China Coal Society,2020,45(S1):128-139. [2] 温廷新,靳露露.基于预处理的IFOA-ELM煤与瓦斯突出预测模型[J].中国安全科学学报,2020,30(1): 35-41. WEN Tingxin, JIN Lulu.IFOA-ELM prediction model of coal and gas outburst based on preprocessing[J]. China Safety Science Journal,2020,30(1): 35-41. [3] 姜福兴,杨光宇,魏全德,等.煤矿复合动力灾害危险性实时预警平台研究与展望[J].煤炭学报,2018,43(2): 333-339. JIANG Fuxing, YANG Guangyu, WEI Quande,et al.Study and prospect on coal mine composite dynamic disaster real-time prewarning platform[J]. Journal of China Coal Society, 2018, 43(2): 333-339. [4] 李忠辉,马云波,郑安琪,等.掘进工作面突出危险性预测及危险区可视化研究[J].中国安全科学学报,2020,30(11): 53-59. LI Zhonghui, MA Yunbo, ZHENG Anqi, et al. Research on outburst risk prediction and visualization of dangerous zone in driving work face[J]. China Safety Science Journal,2020,30(11): 53-59. [5] 何学秋,王安虎,窦林名,等.突出危险煤层微震区域动态监测技术[J].煤炭学报,2018,43(11): 3 122-3 129. HE Xueqiu,WANG Anhu,DOU Linming,et al.Technology of microseismic dynamic monitoring on coal and gas outburst-prone zone[J].Journal of China Coal Society,2018,43(11): 3 122-3 129. [6] 姜福兴,尹永明,朱权洁,等.基于掘进面应力和瓦斯浓度动态变化的煤与瓦斯煤与瓦斯突出预警试验研究[J].岩石力学与工程学报,2014,33(增2):3 581-3 588. JIANG Fuxing, YIN Yongming, ZHU Quanjie, et al. Experimental study of precaution technology of heading face coal and gas outburst based on dynamic changes of stress and methane concentration[J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(S2): 3 581-3 588. [7] 雷文杰,王兆丰,韩真理.采动效应微震特征及其变化规律[J].岩石力学与工程学报,2015,34(4): 795-803. LEI Wenjie,WANG Zhaofeng,HAN Zhenli.Micro-seismic characteristics due to mining effects[J].Chinese Journal of Rock Mechanics and Engineering,2015,34(4): 795-803. [8] 朱南南,张浪,舒龙勇,等.煤与瓦斯突出的微震前兆特性试验研究与预警案例分析[J].岩石力学与工程学报,2018,37(6): 1 419-1 429. ZHU Nannan,ZHANG Lang,SHU Longyong,et al.Experimental study on microseismic precursory characteristics of coal and gas outburst and case analysis of early-warning[J].Chinese Journal of Rock Mechanics and Engineering,2018,37(6): 1 419-1 429. [9] 王恩元,刘晓斐,何学秋,等.煤岩动力灾害声电协同监测技术及预警应用[J].中国矿业大学学报,2018,47(5): 942-948. WANG Enyuan, LIU Xiaofei, HE Xueqiu, et al. Acoustic emission and electromagnetic radiation synchronized monitoring technology and early-warning application for coal and rock dynamic disaster[J]. Journal of China University of Mining & Technology, 2018, 47(5): 942-948. [10] 曹康,李忠辉,余得胜,等.掘进工作面突出危险声电瓦斯前兆特征及综合预警应用[J/OL].煤炭科学技术:1-7[2020-12-24].http://kns.cnki.net/kcms/detail/11.2402.TD.20200214.1222.004.html. CAO Kang,LI Zhonghui,YU Desheng,et al.Precursor characteristics of acoustic emission electromagnetic radiation and gas and comprehensive early warning application of outburst in driving face[J/OL]. Coal Science and Technolog:1-7[2020-12-24].http://kns.cnki.net/kcms/detail/11.2402.TD.20200214.1222.004.html. [11] 石琨,刘艺平.汪家寨煤矿P41104掘进工作面实时跟踪预警突出危险性分析[J].煤矿安全,2016,47(5): 163-165. SHI Kun,LIU Yiping.Outburst hazard analysis of real-time tracking warning for P41104 heading face of Wangjiazhai mine[J]. Safety in Coal Mines,2016,47(5): 163-165. [12] 陈学华,吕鹏飞,宋卫华,等.综放开采过断层冲击地压危险分析及防治技术[J].中国安全科学学报,2016,26(5): 81-87. CHEN Xuehua, LYU Pengfei, SONG Weihua, et al. Analysis and control technology of danger of rock burst when fully mechanized caving passing through fault[J].China Safety Science Journal, 2016, 26(5): 81-87. [13] 丛利,曹安业,周远宏,等.基于动静载冲击地压危险叠加的综合预警方法[J].采矿与安全工程学报,2020,37(4): 767-776. CONG Li, CAO Anye, ZHOU Yuanhong, et al. The comprehensive pre-warning method of rock burst hazard based on theory of dynamic and static combined loading [J]. Journal of Mining and Safety Engineering, 2020, 37(4): 767-776. [14] 杨艳国,穆永亮,秦洪岩.工作面瓦斯浓度时间序列特征挖掘与预警应用[J]. 中国安全科学学报, 2018,28(3): 120-125. YANG Yanguo,MU Yongliang,QIN Hongyan.Research on time series characteristics of gas concentration at working face and application of them to early warning[J].China Safety Science Journal,2018, 28(3): 120-125. [15] 邓明,张国枢,陈清华.基于瓦斯涌出时间序列的煤与瓦斯突出预报[J].煤炭学报,2010,35(2): 260-263. DENG Ming,ZHANG Guoshu,CHEN Qinghua.Forecast of coal and gas outburst based on time series of gas concentration[J].Journal of China Coal Society,2010,35(2): 260-263. [16] 卢才武,夏峰.基于EWT和Meyer自适应阈值的微震降噪[J].地球物理学进展,2020,35(3): 1 010-1 016. LU Caiwu, XIA Feng. Microseismic noise reduction based on EWT and Meyer adaptive threshold[J]. Progress in Geophysics, 2020, 35(3): 1 010-1 016. [17] 朱志洁,张宏伟,韩军,等.基于PCA-BP神经网络的煤与瓦斯突出预测研究[J].中国安全科学学报,2013,23(4): 45-50. ZHU Zhijie, ZHANG Hongwei, HAN Jun, et al. Prediction of coal and gas outburst based on PCA-BP neural network[J]. China Safety Science Journal, 2013, 23(4): 45-50. [18] 师旭超,韩阳.煤与瓦斯突出预测的支持向量机(SVM)模型[J].中国安全科学学报,2009,19(7): 26-30. SHI Xuchao,HAN Yang.Prediction model for the outburst of coal and gas based on SVM[J].China Safety Science Journal,2009,19(7): 26-30. [19] 王杰,罗周全,秦亚光,等.基于随机森林理论的采场稳定性预测研究[J].中国安全科学学报,2018,28(3): 155-160. WANG Jie, LUO Zhouquan, QIN Yaguang,et al.Prediction of stope stability based on random forest[J].China Safety Science Journal, 2018,28(3): 155-160. [20] 宋建国,杨璐,高强山,等.强容噪性随机森林算法在地震储层预测中应用[J].石油地球物理勘探,2018,53(5):954-960,881. [21] 李绍泉. 近距离煤层群煤与瓦斯突出机理及预警研究[D].北京:中国矿业大学(北京),2013. LI Shaoquan. Study on the coal and gas outburst mechanism and warning of close coal seams [D].Beijing:China University of Mining and Technology(Beijing),2013. |