Application of EMD and FSWT combination method in blasting vibration signal analysis

YANG Renshu,FU Xiaoqiang,YANG Guoliang,CHEN Jun,CHEN Wei

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (2) : 58-64.

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PDF(1769 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (2) : 58-64.

Application of EMD and FSWT combination method in blasting vibration signal analysis

  • YANG Renshu,FU Xiaoqiang,YANG Guoliang,CHEN Jun,CHEN Wei
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Abstract

In view of the shortcomings of the traditional empirical time-frequency analysis methods,a blasting vibration signal analysis method based on EMD-FSWT was proposed. The EMD of blasting vibration signals collected in actual engineering was carried out,according to the correlation coefficient,to determine the dominant component and reconstruct the signal,and the full band FSWT time-frequency characteristics of the reconstructed signal were then provided. In virtue of the characteristic of the inverse transformation of FSWT,that any frequency range of the signal can be cut out,the time and frequency ranges of the reconstructed signal were chosen and more refined time-frequency feature extraction was achieved. The filtering de-noising effects of the EMD-FSWT combination method,Hilbert Huang transform (HHT) and wavelet transform (WT),were analysed and compared with those of two traditional methods,the short time Fourier transform (STFT) and rearrangement smooth Wigner-Ville distribution (RSPWVD).The analysis results show that: the EMD-FSWT combination method has higher time-frequency domain resolution in transient signal analysis. Its de-noising and filtering effect is good and is more suitable for precise time-frequency characteristics analysis for the blasting vibration signal.

Key words

blasting vibration / empirical mode decomposition (EMD) / frequency slice wavelet transform (FSWT) / time-frequency analysis / energy distribution

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YANG Renshu,FU Xiaoqiang,YANG Guoliang,CHEN Jun,CHEN Wei. Application of EMD and FSWT combination method in blasting vibration signal analysis[J]. Journal of Vibration and Shock, 2017, 36(2): 58-64

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