付晓强, 陈岐范, 李明, 左进京, 史国利. 冻结立井爆破振动信号去噪研究[J]. 煤矿安全, 2017, 48(9): 47-50.
    引用本文: 付晓强, 陈岐范, 李明, 左进京, 史国利. 冻结立井爆破振动信号去噪研究[J]. 煤矿安全, 2017, 48(9): 47-50.
    FU Xiaoqiang, CHEN Qifan, LI Ming, ZUO Jinjing, SHI Guoli. Research on Blasting Vibration Signal Denoising Method in Freezing Vertical Shaft[J]. Safety in Coal Mines, 2017, 48(9): 47-50.
    Citation: FU Xiaoqiang, CHEN Qifan, LI Ming, ZUO Jinjing, SHI Guoli. Research on Blasting Vibration Signal Denoising Method in Freezing Vertical Shaft[J]. Safety in Coal Mines, 2017, 48(9): 47-50.

    冻结立井爆破振动信号去噪研究

    Research on Blasting Vibration Signal Denoising Method in Freezing Vertical Shaft

    • 摘要: 针对冻结立井监测到的爆破振动信号的高噪声、短持时和非线性的特征,提出了经验模态分解-去趋势项波动分析(Empirical Mode Decomposition-Detrended Fluctuation Analysis,EMD-DFA)组合去噪方法。采用4项指标综合评价了EMD-DFA法、EMD和EEMD法、小波阈值法和小波熵去噪法去噪效果。结果表明:被强噪声污染的爆破振动信号采用EMD-DFA组合法去噪得到了信噪比和互相关度最高,相应的误差最小,去噪后的信号保留了爆破信号的瞬态非平稳特征,去噪效果最优。

       

      Abstract: According to the characteristics of high noise, short duration and nonlinear of freezing vertical shaft blasting vibration signal in practical engineering, the method of EMD-DFA (Empirical Mode Decomposition-Detrended Fluctuation Analysis) combining de-noising method is proposed. Four indexes were used to evaluate the de-noising effect of EMD-DFA, EMD and EEMD, wavelet threshold and wavelet entropy. The results show that: the blasting vibration signals including strong noise pollution by using the combined method of EMD-DFA de-noising, SNR and cross-correlation is the highest, the corresponding error is minimum, the de-noising signal retains the transient characteristics of non-stationary signal blasting, de-noising effect is optimal.

       

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