冻结立井爆破振动信号去噪研究

发布时间：2018-12-18 13:04

【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,EMDDFA)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]:In view of the characteristics of high noise, short duration and nonlinearity of blasting vibration signals monitored by frozen shaft, a combined denoising method of empirical mode decomposition (EMD) and undulation analysis of trend term (Empirical Mode Decomposition-Detrended Fluctuation Analysis,EMDDFA) is proposed. The denoising effect of EMD-DFA method, EMD and EEMD method, wavelet threshold method and wavelet entropy denoising method are evaluated synthetically by four indexes. The results show that the signal-to-noise ratio (SNR) and correlation degree are the highest and the corresponding error is the least by using EMD-DFA combination method to denoise the blasting vibration signal contaminated by strong noise. The de-noised signal retains the transient non-stationary feature of the blasting signal. The denoising effect is optimal.
【作者单位】：中国矿业大学(北京)力学与建筑工程学院;兖矿集团有限公司;
【基金】：国家重点研发计划资助项目(2016YFC0600903)
【分类号】：TD235;TD265.3

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