文献类型：期刊文献

中文题名：煤矿立井爆破信号趋势项和噪声消除方法

英文题名：Eliminating Trend for Vertical Shaft Blasting Signal and the Method of De-noising

作者：付晓强 张仁巍 雷振 刘纪峰 崔秀琴 刘幸

第一作者：付晓强

机构：[1]三明学院建筑工程学院,福建三明365004;[2]工程材料与结构加固福建省高等学校重点实验室,福建三明365004;[3]贵州理工学院矿业工程学院,贵州贵阳550003

第一机构：三明学院建筑工程学院,福建三明365004

年份：2020

卷号：27

期号：1

起止页码：57-62

中文期刊名：兰州工业学院学报

外文期刊名：Journal of Lanzhou Institute of Technology

基金：三明市引导性科技项目计划(2019-S-28);福建省中青年教师教育科研项目(JAT190697);国家自然科学基金(51274203);福建省自然科学基金高校联合基金(2018J01515)

语种：中文

中文关键词：立井爆破;爆破振动;趋势项;组合分析;主频识别

外文关键词：vertical shaft blasting;blasting vibration;trend term;combined analysis;main frequency recognition

摘要：为消除深立井大药量爆破时近区信号中包含的趋势项对信号有效信息提取的干扰,利用完备总体平均经验模态分解(CEEMD)将立井爆破信号分解为10个固有模态分量及1个残余分量,通过人为判别去除信号趋势项中的低频分量,根据主要分量自相关(AC)波形特征判别出信号高频噪声分量;采用快速独立成分分析(Fast ICA)实现盲源分离并重构实现了信号趋势项消除;通过原信号和消除趋势项信号的希尔伯特时频谱对比,验证了组合方法的有效性.结果表明:组合方法能有效去除爆破信号中包含的趋势项成分,避免对信号主频峰值的误判,可用于批量爆破信号主频特征识别和信息提取前的预处理,是一种相对保幅的趋势项消除方法.
In order to eliminate the interference of the trend term contained in shaft lining vibration signal to the effective information extraction of blasting signal when the deep vertical shaft excavated with a large charge,the blasting signal is decomposed into 10 intrinsic mode components and 1 residual component.The low frequency trend term component in the signal is removed by artificial discrimination,and the high frequency noise component of the signal is identified according to the auto-correlation(AC)waveform characteristics of the main component.The fast independent component analysis(fast ICA)is used to realize blind source separation and reconstruction,and the signal trend term elimination and de-noising process are realized.The effectiveness of the combination method is verified by comparing the Hilbert spectrum of the original signal with that of the trend elimination signal.The results show that the combination method can effectively remove the trend component and high-frequency noise contained in the blasting signal,so as to avoid misjudgment of the peak value of the main frequency of the signal,thus avoiding the misjudgment of the main frequency of the signal,which can be used for the pre-processing of the main frequency feature recognition and information extraction of the batch blasting signal.It is a relatively amplitude-preserving trend elimination method.