Study on EME signal denoising based on AEEMD-IWT algorithm

LIU Gui-fen; CAI Jing-yi; YANG Zhen; LI Xin; TONG Ze-ren

doi:10.13873/J.1000-9787(2016)07-0038-04

Chinese

您当前的位置：

首页 >

文章列表页 >

Study on EME signal denoising based on AEEMD-IWT algorithm

更新时间：2025-09-11

- Study on EME signal denoising based on AEEMD-IWT algorithm
- Vol. 35, Issue 7, Pages: 38-41(2016)
- 作者机构：
  
  1. 辽宁工程技术大学电气与控制工程学院
  2. 辽宁工程技术大学安全科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)07-0038-04
  CLC： O441;TN911.4
- Published：2016
- 稿件说明：
移动端阅览
[1]刘桂芬,蔡景怡,杨桢,李鑫,仝泽仁.基于AEEMD与IWT的电磁辐射信号去噪研究[J].传感器与微系统,2016,35(07):38-41.

LIU Gui-fen, CAI Jing-yi, YANG Zhen, et al. Study on EME signal denoising based on AEEMD-IWT algorithm[J]. 2016, 35(7): 38-41.
[1]刘桂芬,蔡景怡,杨桢,李鑫,仝泽仁.基于AEEMD与IWT的电磁辐射信号去噪研究[J].传感器与微系统,2016,35(07):38-41. DOI： 10.13873/J.1000-9787(2016)07-0038-04.

LIU Gui-fen, CAI Jing-yi, YANG Zhen, et al. Study on EME signal denoising based on AEEMD-IWT algorithm[J]. 2016, 35(7): 38-41. DOI： 10.13873/J.1000-9787(2016)07-0038-04.

摘要

为在复合煤岩受载破裂电磁辐射（EME）特性研究中更加精准地采集电磁辐射信号

提出了自适应集合经验模态分解（AEEMD）与改进小波阈值（IWT）相结合的电磁辐射信号去噪算法

弥补了传统小波去噪对小波基存在选择性的不足。分别采用IWT算法、EMD结合改进小波阈值（EMD-IWT）算法及自适应EEMD结合改进小波阈值（AEEMD-IWT）算法对Bumps和Quadchirp两种加噪信号进行去噪仿真;将三种去噪算法嵌入自主研发新型煤岩电磁辐射采集系统中

采集复合煤岩受载破裂电磁辐射信号并去噪

仿真与实验结果证明:AEEMD-IWT电磁辐射去噪算法去噪性能优越、使用范围广、实用性强。

Abstract

In order to collect electromagnetic emission（ EME） signals more accurately in EME characteristics study of composed coal-rock loaded deformation and fracture

propose a new EME signal denoising algorithm combined adaptive ensemble empirical mode decomposition（ AEEMD） and with improved wavelet threshold（ IWT）

the new algorithm makes up for the deficiencies that traditional wavelet denoising to wavelet bases. Make denoising simulation on noisy signals of Bumps and Quadchirp using EMD-IWT algorithm which combined IWT algorithm with empirical mode decomposition（ EMD） and using AEEMD-IWT algorithm which combined AEEMD with IWT. Three kinds of denoising algorithms is embedded into a new EME acquisition system developed independently

collect EME signals from composed coal-rock loaded deformation and fracture and then denoise

the simulation and experiment results prove that AEEMD-IWT algorithm has excellent denoising performance

extensive application area and good practicality.

关键词

Keywords

references

改进小波变换的煤岩电磁辐射信号去噪方法 [J]. 杨桢,李艳,李鑫,蔡景怡. 辽宁工程技术大学学报(自然科学版) . 2015(03)

煤体静载破坏过程中的微震信号特征研究 [J]. 孙晓元,邢云峰,关城,王菲茵. 煤炭技术 . 2014(12)

基于小波神经网络的煤岩破裂电磁辐射预测模型研究 [J]. 杨桢,付华,李鑫. 煤矿机电 . 2012(05)

集成经验模态分解中加入白噪声的自适应准则 [J]. 蔡艳平,李艾华,徐斌,许平,何艳萍. 振动.测试与诊断 . 2011(06)

坚硬顶板组合煤岩样破坏电磁辐射规律及其应用 [J]. 姚精明,闫永业,尹光志,姚俊伟,李生舟. 重庆大学学报 . 2011(05)

电磁辐射信号的小波变换去噪研究 [J]. 聂百胜,何学秋,何俊,翟盛锐. 太原理工大学学报 . 2006(05)

EMD算法研究及其在信号去噪中的应用 [D]. 王婷. 哈尔滨工程大学 2010

集合经验模态分解的理论及应用研究 [D]. 孟繁林. 江苏科技大学 2013

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J] . Huang Norden E.,Shen Zheng,Long Steven R.,Wu Manli C.,Shih Hsing H.,Zheng Quanan,Yen Nai-Chyuan,Tung Chi Chao,Liu Henry H.. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences . 1998 (1971)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

New signal denoising algorithm of loading coal-rock electromagnetic emission

An extraction algorithm for village area in satellite remote sensing image

Related Author

YANG Zhen

QI Qing-jie

LI Xin

LU Zhi-ying

LI Xiao-dong

Related Institution

College of Safety Science and Engineering,Liaoning Technical University

School of Electrical Engineering and Automation,Tianjin University

⁰