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Founded in 1987， Bimonthly
Supervisor：Jiangxi University Of Science And Technology
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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 5 Issue 4
Aug.  2014
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WANG Liu, SHAO Yajian, LIU Lihua, LIU Jian, YIN Libing. Blast vibration signal analysis based on wavelet packets of a mine[J]. Nonferrous Metals Science and Engineering, 2014, 5(4): 101-105. DOI: 10.13264/j.cnki.ysjskx.2014.04.019
Citation: WANG Liu, SHAO Yajian, LIU Lihua, LIU Jian, YIN Libing. Blast vibration signal analysis based on wavelet packets of a mine[J]. Nonferrous Metals Science and Engineering, 2014, 5(4): 101-105. DOI: 10.13264/j.cnki.ysjskx.2014.04.019
shu

Blast vibration signal analysis based on wavelet packets of a mine

  • 1.

    School of Resource and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • 2.

    Jiangxi Xihuashan Tungsten Industry Co. Ltd, Ganzhou 341000,China

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  • Received Date: April 22, 2014
  • Published Date: August 30, 2014
    Graphical Abstract
    • Abstract
  • In order to understand blast vibration wave propagation of a mine, noise and signal components of each band are extracted on the basis of signal de-noising after four layers signal decomposition with db8 wavelet packet. Analysis shows that aliasing of real signal and noise will cause PPV increasing or decreasing which can reduce the accuracy and reliability of the original signal. Real signals are distribution within 0~256 Hz with no significant concentration in each frequency band. But, in the same blasting, with the increasing of propagation distance, speed tends to concentrate on low frequency. Finally, attenuation law of blasting vibration wave formula is acquired by linear fitting of data which provides the basis for the mine blasting design.
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    • References (16)
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