中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院油气资源研究重点实验室
Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes

文献类型：期刊论文

作者Dai, Rui1,2,3,4,5; Wang, Yibo4,5; Zhang, Da1,2,3; Ji, Hu1,2,3
刊名ENTROPY
出版日期2023-10-01
卷号25期号:10页码:16
关键词microseisms P-phase onset time picking STA/LTA method AIC method skew and kurtosis method wavelet coefficient threshold denoising in time-frequency domain
DOI10.3390/e25101451
英文摘要The underground pressure disaster caused by the exploitation of deep mineral resources has become a major hidden danger restricting the safe production of mines. Microseismic monitoring technology is a universally recognized means of underground pressure monitoring and early warning. In this paper, the wavelet coefficient threshold denoising method in the time-frequency domain, STA/LTA method, AIC method, and skew and kurtosis method are studied, and the automatic P-phase-onset-time-picking model based on noise reduction and multiple detection indexes is established. Through the effect analysis of microseismic signals collected by microseismic monitoring system of coral Tungsten Mine in Guangxi, automatic P-phase onset time picking is realized, the reliability of the P-phase-onset-time-picking method proposed in this paper based on noise reduction and multiple detection indexes is verified. The picking accuracy can still be guaranteed under the severe signal interference of background noise, power frequency interference and manual activity in the underground mine, which is of great significance to the data processing and analysis of microseismic monitoring.
WOS关键词ARRIVAL IDENTIFICATION
资助项目National Key Research and Development Program of China[2020YFE0202800] ; National Key Research and Development Program of China[2021YFA0716800]
WOS研究方向Physics
语种英语
出版者MDPI
WOS记录号WOS:001089732100001
资助机构National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/110721]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Dai, Rui
作者单位1.China South Africa BRI Joint Lab Sustainable Dev &, Beijing 102628, Peoples R China
2.BGRIMM Technol Grp Co Ltd, Beijing 102628, Peoples R China
3.China South Africa Joint Res Ctr Exploitat & Utili, Beijing 102628, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Beijing 518055, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Dai, Rui,Wang, Yibo,Zhang, Da,et al. Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes[J]. ENTROPY,2023,25(10):16.
APA Dai, Rui,Wang, Yibo,Zhang, Da,&Ji, Hu.(2023).Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes.ENTROPY,25(10),16.
MLA Dai, Rui,et al."Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes".ENTROPY 25.10(2023):16.

入库方式： OAI收割

来源：地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。