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几种信号去噪方法在爆破振动信号中的应用分析

刘连生 蒋家卫 周子荣 廖敏敏

有色金属科学与工程2016,Vol.7Issue(3):107-112,6.
有色金属科学与工程2016,Vol.7Issue(3):107-112,6.DOI:10.13264/j.cnki.ysjskx.2016.03.019

几种信号去噪方法在爆破振动信号中的应用分析

Application of de-noising methods to blasting vibration signals

刘连生 1蒋家卫 2周子荣 1廖敏敏1

作者信息

  • 1. 江西理工大学资源与环境工程学院,江西 赣州 341000
  • 2. 中南大学西部矿业博士后科研工作站,西宁810006
  • 折叠

摘要

Abstract

The signal de-noising principle of the wavelet threshold method, EMD and EEMD are mainly pro-posed. Three methods were used to denoise the blasting seismic signals under open-pit blasting. The compara-tive analysis of the oscillogram of denoising, signal-to-noise ratio and the root mean square error detection show that the difference of denoising effect are produced by the wavelet threshold denoising method for differ-ent signal source. The value of signal-to-noise ratio and the root mean square error have big volatility. There-fore, the method is unstable in the process of blasting vibration signal denoising. The signal denoising effect by EMD and EEMD methods are compared with the wavelet threshold method, which shows their adaptability in signal analysis. The EEMD can eliminate modal aliasing phenomenon generated by the decomposing signal through EMD. As a result, EEMD denoising method can achieve higher signal-to-noise ratio and smaller root mean square error compared with EMD denoising method, so the effect of denoising through EEMD is much better than EMD. But the EEMD also has the disadvantage of too long computation time.

关键词

爆破振动/信号去噪/小波阈值法/EMD/EEMD

Key words

blast vibration/signal denoising/wavelet threshold method/EMD/EEMD

分类

矿业与冶金

引用本文复制引用

刘连生,蒋家卫,周子荣,廖敏敏..几种信号去噪方法在爆破振动信号中的应用分析[J].有色金属科学与工程,2016,7(3):107-112,6.

基金项目

国家自然科学基金资助项目(51404111);中国博士后科学基金资助项目(2014M562529XB);江西理工大学重点学科资助项目 ()

有色金属科学与工程

OACSTPCD

1674-9669

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