收藏切换
Application of FFT spectrum analysis to identify microseismic signals
收藏切换
PDF
Science & Technology Review | 2015, 33(2) : 86 - 90
Less
收藏切换
Science & Technology Review | 2015, 33(2): 86-90
Application of FFT spectrum analysis to identify microseismic signals
Full
JIANG Wenwu1, YANG Zuolin2, XIE Jianmin2, LI Jiafu3
Affiliations
    1. Mining Engineering Key Laboratory of Jiangxi Province, Jiangxi University of Science and Technology, Ganzhou 341000, China;
    2. School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
    3. Shanghai Pengxu Information Technology Co., Ltd., Shanghai 200000, China
Published: 2015-01-28 doi: 10.3981/j.issn.1000-7857.2015.02.013
Outline
收藏切换
To identify large scale stopping blasting and large magnitude micro-seismic signals, the FFT spectral analysis method is used. The analysis of the stopping blasting and macro-scale rock fracture signals is made through power spectrum and magnitudefrequency characteristics. The distribution difference of the energy on the frequency brand can be revealed. It is shown that in the frequency brand distribution of the large magnitude micro-seismic signal, the amplitude value takes the maximum at about 10 Hz and 30~50 Hz. The large scale stopping blasting is in a narrow frequency brand. Its amplitude value is higher than the normal signal. It reaches the top amplitude at 10 Hz. From the energy distribution, the energy distribution of the blasting signal mostly in the 0-30 Hz low frequency area. It is because the blasting is always accompanied with an enormous energy, which is released very fast. The microseismic energy is distributed mostly in the range of 30-50 Hz. So for the two kinds of signal identifications, two kinds of signal spectrum characteristics may be used.
microseismic monitoring  /  FFT  /  spectrum analysis
江文武, 杨作林, 谢建敏, 李家福. FFT频谱分析在微震信号识别中的应用. 科技导报, 2015 , 33 (2) : 86 -90 . DOI: 10.3981/j.issn.1000-7857.2015.02.013
JIANG Wenwu, YANG Zuolin, XIE Jianmin, LI Jiafu. Application of FFT spectrum analysis to identify microseismic signals[J]. Science & Technology Review, 2015 , 33 (2) : 86 -90 . DOI: 10.3981/j.issn.1000-7857.2015.02.013
Year 2015 volume 33 Issue 2
PDF
603
164
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2015.02.013
  • Receive Date:2014-06-10
  • Online Date:2015-02-09
  • Published:2015-01-28
Article Data
Affiliations
History
  • Received:2014-06-10
  • Revised:2014-11-02
Affiliations
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2015.02.013
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT