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Volume 7 Issue 3
Jun.  2016
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LIU Liansheng, JIANG Jiawei, ZHOU Zirong, LIAO Minmin. Application of de-noising methods to blasting vibration signals[J]. Nonferrous Metals Science and Engineering, 2016, 7(3): 107-112. DOI: 10.13264/j.cnki.ysjskx.2016.03.019
Citation: LIU Liansheng, JIANG Jiawei, ZHOU Zirong, LIAO Minmin. Application of de-noising methods to blasting vibration signals[J]. Nonferrous Metals Science and Engineering, 2016, 7(3): 107-112. DOI: 10.13264/j.cnki.ysjskx.2016.03.019
shu

Application of de-noising methods to blasting vibration signals

  • 1.

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

  • 2.

    Postdoctoral Scientific Research Workstation, Western Mining Co. Ltd.， Central South University, Xining 810006, China

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  • Received Date: September 24, 2015
  • Published Date: June 29, 2016
    Graphical Abstract
    • Abstract
  • The signal de-noising principle of the wavelet threshold method, EMD and EEMD are mainly proposed. Three methods were used to denoise the blasting seismic signals under open-pit blasting. The comparative analysis of the oscillogram of denoising, signal-to-noise ratio and the root mean square error detection show that the difference of denoising effect are produced by the wavelet threshold denoising method for different signal source. The value of signal-to-noise ratio and the root mean square error have big volatility. Therefore, the method is unstable in the process of blasting vibration signal denoising. The signal denoising effect by EMD and EEMD methods are compared with the wavelet threshold method, which shows their adaptability in signal analysis. The EEMD can eliminate modal aliasing phenomenon generated by the decomposing signal through EMD. As a result, EEMD denoising method can achieve higher signal-to-noise ratio and smaller root mean square error compared with EMD denoising method, so the effect of denoising through EEMD is much better than EMD. But the EEMD also has the disadvantage of too long computation time.
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    • References (18)
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