Application of FFT spectrum analysis to identify microseismic signals

  • JIANG Wenwu ,
  • YANG Zuolin ,
  • XIE Jianmin ,
  • LI Jiafu
  • 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

Received date: 2014-06-10

  Revised date: 2014-11-02

  Online published: 2015-02-09


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.

Cite this article

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


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