煤巷掘进声发射监测信号噪声处理技术研究
Research on Noise Processing Technology for Acoustic Emission Monitoring Signals in Coal Roadway Excavation
齐凯 1李文龙 1王新1
作者信息
- 1. 鄂尔多斯市转龙湾煤炭有限公司,内蒙古 鄂尔多斯 017200
- 折叠
摘要
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.
Abstract
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.
关键词
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Key words
acoustic emission monitoring/noise reduction/wavelet transform/Empirical Mode Decomposition(EMD)/adaptive filtering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据