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煤巷掘进声发射监测信号噪声处理技术研究

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针对煤巷掘进过程中,监测信号易受噪声干扰等问题,研究煤巷掘进声发射监测信号的噪声处理技术,包括小波变换、经验模态分解(Empirical Mode Decomposition,EMD)、自适应滤波技术.实证研究表明,应用这些先进技术,可有效抑制噪声,提高信号质量,为煤岩动力灾害预警提供可靠的数据基础.
Research on Noise Processing Technology for Acoustic Emission Monitoring Signals in Coal Roadway Excavation
Aiming at the problem that the monitoring signal is susceptible to noise interference in the process of coal roadway excavation,the noise processing technology of acoustic emission monitoring signal in coal roadway excavation is studied,including wavelet transform,Empirical Mode Decomposition(EMD)and adaptive filtering technology.The empirical study shows that the application of these advanced technologies can effectively suppress noise,improve signal quality,and provide reliable data basis for coal and rock power disaster warning.

acoustic emission monitoringnoise reductionwavelet transformEmpirical Mode Decomposition(EMD)adaptive filtering

齐凯、李文龙、王新

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鄂尔多斯市转龙湾煤炭有限公司,内蒙古 鄂尔多斯 017200

声发射监测 噪声处理 小波变换 经验模态分解(EMD) 自适应滤波

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(10)