| 基于EWT和Meyer自适应阈值的微震降噪 |
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| 引用本文： | 卢才武,夏峰.基于EWT和Meyer自适应阈值的微震降噪[J].地球物理学进展,2020(3):1010-1016. |
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| 作者姓名： | 卢才武 夏峰 |
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| 作者单位： | 西安建筑科技大学资源工程学院 |
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| 基金项目： | 国家自然科学基金项目(51774228);国家自然科学青年基金项目(51404182);陕西省自然科学(2017JM7005);国家安监局安全生产重大事故防治关键技术科技项目(2017G-B1-0519)联合资助. |
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| 摘 要： | 露天矿采场边坡的微震信号具有振幅弱、噪声多、信噪比低的特征,基于经验小波变换(EWT)及Meyer自适应阈值提出分频降噪方法.首先,针对微震信号的频谱特征,设计一种频谱分割策略,将信号和噪声分解为不同的模态;其次,分析模态的频谱和能量,采用Meyer阈值函数自适应降噪,提高有效信号振幅;最后,借助阈值函数处理包含较少有用信号的模态,重构微震信号以保持其连续性,结果表明,降噪后微震信号信噪比(SNR)高、有效信息多,噪声少;通过多种方法对比,并用信噪比与均方根误差(RMSE)对本次降噪效果进行评价,本文方法较好的保留了微震信号有效信息,降噪效果显著.
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| 关 键 词： | 经验小波变换 自适应阈值 微震 弱振幅 |
Microseismic noise reduction based on EWT and Meyer adaptive threshold |
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| LU Cai-wu,XIA Feng.Microseismic noise reduction based on EWT and Meyer adaptive threshold[J].Progress in Geophysics,2020(3):1010-1016. |
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| Authors: | LU Cai-wu XIA Feng |
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| Institution: | (College of Resources Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China) |
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| Abstract: | The micro-seismic signal of open-pit mine slope is characterized by weak amplitude,high noise and low signal-to-noise ratio.Based on the Empirical Wavelet Transform(EWT)and Meyer adaptive threshold,a frequency division method is proposed to reduce the noise.Firstly,the frequency characteristics of microseismic signals are proposed.Design a spectrum segmentation strategy to decompose the signal and noise into different modes.Secondly,analyze the spectrum and energy of the mode,adaptively reduce the noise by the Meyer threshold function,and increase the effective signal amplitude.Finally,use the threshold function to process the inclusion.The modal of less useful signals reconstructs the micro-seismic signal to maintain its continuity.The results show that the Signal-to-Noise Ratio(SNR)of the micro-seismic signal after denoising is high,the effective information is more,and the noise is less;through various methods,the signal noise is used.SNR and the ratio and Root Mean Square Error(RMSE)is used to evaluate the noise reduction effect.This method preserves the effective information of the micro-seismic signal and has significant noise reduction effect. |
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| Keywords: | Empirical wavelet transform Adaptive threshold Micro-seismic Weak amplitude |
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