【摘要】：針對(duì)凍結(jié)立井監(jiān)測(cè)到的爆破振動(dòng)信號(hào)的高噪聲、短持時(shí)和非線性的特征,提出了經(jīng)驗(yàn)?zāi)B(tài)分解-去趨勢(shì)項(xiàng)波動(dòng)分析(Empirical Mode Decomposition-Detrended Fluctuation Analysis,EMDDFA)組合去噪方法。采用4項(xiàng)指標(biāo)綜合評(píng)價(jià)了EMD-DFA法、EMD和EEMD法、小波閾值法和小波熵去噪法去噪效果。結(jié)果表明:被強(qiáng)噪聲污染的爆破振動(dòng)信號(hào)采用EMD-DFA組合法去噪得到了信噪比和互相關(guān)度最高,相應(yīng)的誤差最小,去噪后的信號(hào)保留了爆破信號(hào)的瞬態(tài)非平穩(wěn)特征,去噪效果最優(yōu)。
[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.
【作者單位】： 中國(guó)礦業(yè)大學(xué)(北京)力學(xué)與建筑工程學(xué)院;兗礦集團(tuán)有限公司;
【基金】：國(guó)家重點(diǎn)研發(fā)計(jì)劃資助項(xiàng)目(2016YFC0600903)
【分類號(hào)】：TD235;TD265.3

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