爆炸与冲击2018，Vol.38Issue(1)：112-118,7.DOI:10.11883/bzycj-2016-0148
基于集合经验模态分解-小波阈值方法的爆破振动信号降噪方法
A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold
费鸿禄 1刘梦 1曲广建 2高英3
作者信息
- 1. 辽宁工程技术大学爆破技术研究院,辽宁阜新123000
- 2. 广州中爆数字信息科技股份有限公司,广东广州510670
- 3. 华南理工大学计算机科学与工程学院,广东广州510641
- 折叠
摘要
Abstract
In this work we proposed a method based on ensemble empirical mode decomposition (EEMD) and wavelet threshold for eliminating the noise contained a in blasting signal.Following this method,the signal is firstly decomposed using the ensemble empirical mode decomposition;then,the intrinsic mode function with noise is processed by the wavelet threshold denoising;and,finally,the processed signal is superimposed on the untreated component of the signal,and the signal thus reconstructed is the denoised signal.This method can not only can effectively remove the noise,but also enable the burst wave form to retain its authenticity and integrity关键词
爆破信号/集合经验模态分解/小波阈值/降噪Key words
blasting signal/ensemble empirical mode decomposition/wavelet threshold/denoising分类
数理科学引用本文复制引用
费鸿禄,刘梦,曲广建,高英..基于集合经验模态分解-小波阈值方法的爆破振动信号降噪方法[J].爆炸与冲击,2018,38(1):112-118,7.
