Application of Optimal Noise Reduction Smooth Model Based on EMD and EEMD in Seismic Waves
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摘要: 目前地震波在地质构造探测和结构损伤检测中具有广泛的应用。文中将EMD和EEMD算法建立的最优降噪模型应用于地震信号去噪中。首先通过低通滤波和带通滤波算法对比分析降噪效果。然后通过对光滑性系数α取不同的值比较信号的光滑性。并利用模拟信号添加高斯白噪声干扰，在同时考虑将信号光滑性和相似性的情况下用最优降噪光滑模型对数据进行处理，最后用实际地震波验证模型在地震波数据处理中应用的可行性。结果表明，EMD和EEMD最优降噪光滑模型都能对地震波进行降噪和光滑性处理，带通滤波与EEMD算法建立的最优降噪光滑模型效果较好。在实际应用中具有更好的效果。Abstract: At present, seismic waves have a wide range of applications in geological structure detection and structural damage detection. There are various kinds of noise interference during the seismic wave acquisition process, which affects the data processing of the signal. In this paper, the optimal noise reduction model is established by EMD and EEMD algorithms. The noise reduction effect is analyzed and compared by low-pass filtering and band-pass filtering algorithms. The smooth models of the signal are also compared by taking different values for the smoothness coefficient α. In more detail, firstly, the basic principles of EMD and noise reduction smoothing model are introduced. The Gaussian white noise interference is then added via simulated Rayleigh wave; after that, the data is processed by the optimal noise reduction smooth model. Finally, the feasibility of the model is verified through the actual seismic wave. The results show that the EEMD model is effective in the practical application of seismic wave noise reduction.
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