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CODEN YJKYA9
Volume 5 Issue 3
Jun.  2014
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DENG Fei, XIA Yijiang, WANG Liu, LIU Hongxing, YIN Libing, TAO Ming. Regression and analysis of blasting seismic wave attenuation coefficient based on wavelet transform[J]. Nonferrous Metals Science and Engineering, 2014, 5(3): 86-90. DOI: 10.13264/j.cnki.ysjskx.2014.03.016
Citation: DENG Fei, XIA Yijiang, WANG Liu, LIU Hongxing, YIN Libing, TAO Ming. Regression and analysis of blasting seismic wave attenuation coefficient based on wavelet transform[J]. Nonferrous Metals Science and Engineering, 2014, 5(3): 86-90. DOI: 10.13264/j.cnki.ysjskx.2014.03.016
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Regression and analysis of blasting seismic wave attenuation coefficient based on wavelet transform

  • School of Resource and Environmental Engineering, Jiangxi university of Science and Technology, Ganzhou JiangXi 341000, China

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  • Received Date: December 10, 2013
  • Published Date: June 29, 2014
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    • Abstract
  • To better understand mine blasting seismic wave attenuation rule, on the basis of in determining the mine blasting vibration signal best wavelet base and threshold function, make the original signal and noise signal measured on SaDaoFu linear matching for analysis. The results show that: The mine blasting vibration signal for the best wavelet base is sym7 function, the denoising effect for the best is rigrsure threshold function. After denoising it is more accurate to know the mine rock mass strength properties from blasting vibration signal attenuation coefficient k, a value compared the original data, Related research can provide theoretical basis for the mine blasting safety design.
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    • References (14)
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