FU Xiaoqiang, YANG Liyun, CHEN Cheng, CHEN Shuaizhi, CHEN Qifan, SHI Guoli. Analysis of Hilbert Spectrum for Mine Vertical Shaft Blasting Vibration Signal Based on Wavelet Decomposition[J]. Safety in Coal Mines, 2017, 48(5): 217-220.
    Citation: FU Xiaoqiang, YANG Liyun, CHEN Cheng, CHEN Shuaizhi, CHEN Qifan, SHI Guoli. Analysis of Hilbert Spectrum for Mine Vertical Shaft Blasting Vibration Signal Based on Wavelet Decomposition[J]. Safety in Coal Mines, 2017, 48(5): 217-220.

    Analysis of Hilbert Spectrum for Mine Vertical Shaft Blasting Vibration Signal Based on Wavelet Decomposition

    • Depend on Yankuang Group main shaft driving engineering of Wanfu Coal Mine, we propose a new well wall vibration monitoring system, and shaft bedrock blasting vibration response under different contour hole blasting schemes is analyzed. Through the combination of wavelet decomposition and Hilbert spectrum method, signal is decomposed to 7 layers using db5 wavelet, the Hilbert spectrum characterization of each layer reconstructed signal is performed, and it reveals the characteristics of energy distribution of blasting vibration signals on different frequency bands. The results show that: the slotting cartridge has significant “vibration reduction”, “peak clipping”, “energy absorption”, and “frequency shift” effect.
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