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基于EMD去噪的煤矿井下地质构造声学探测方法

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针对井下声学信号的非平稳特点,提出一种基于经验模态分解(Empirical Mode Decomposition,EMD)去噪的煤矿井下地质构造声学探测方法.该方法利用EMD的自适应分解能力,结合自适应阈值确定和信号重构技术,有效提高了井下声学信号的信噪比.实验结果表明,该方法相比传统小波阈值去噪,能更好地保留地质构造声学响应特征.
Acoustic Detection Method for Underground Geological Structures in Coal Mines Based on EMD Denoising
Aiming at the non-stationary characteristics of underground acoustic signals,a coal mine geological structure acoustic detection method based on Empirical Mode Decomposition (EMD) denoising is proposed. This method utilizes the adaptive decomposition capability of EMD,combined with adaptive threshold determination and signal reconstruction techniques,effectively improving the signal-to-noise ratio of downhole acoustic signals. The experimental results show that this method can better preserve the acoustic response characteristics of geological structures compared to traditional wavelet thresholding denoising.

Empirical Mode Decomposition (EMD)underground geological structureacoustic detection

李浩东、王腾飞、曹成名

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兖矿能源集团股份有限公司济宁二号煤矿,山东 济宁 272072

兖矿能源集团股份有限公司兴隆庄煤矿,山东 济宁 272100

经验模态分解(EMD) 井下地质构造 声学探测

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(9)
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