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基于小波包变换的煤样破裂次声信号频率特征分析

王云刚 王庆军 魏建平 雷东记

河南理工大学学报(自然科学版)2018,Vol.37Issue(2):1-7,7.
河南理工大学学报(自然科学版)2018,Vol.37Issue(2):1-7,7.DOI:10.16186/j.cnki.1673-9787.2018.02.001

基于小波包变换的煤样破裂次声信号频率特征分析

Analysis of frequency characteristics of infrasonic signals in coal specimens burst based on wavelet packet transform

王云刚 1王庆军 2魏建平 1雷东记2

作者信息

  • 1. 河南省瓦斯地质与瓦斯治理重点实验室-省部共建国家重点实验室培育基地,河南焦作454000
  • 2. 河南理工大学 安全科学与工程学院,河南焦作454000
  • 折叠

摘要

Abstract

Infrasonic wave technology is expected to become a new method to monitor and warn the dynamic disasters of coal and rock in coal mine,and the frequency characteristics of infrasonic signal are the key parameters of application research.Through the uniaxial compression test of coal specimens,the infrasonic signal monitoring system is used to collect the signals produced by the coal specimen in the process of deformation and fracture.The energy distribution characteristics of the signal were analyzed by means of wavelet packet transform.The experiment results show:(1) Wavelet packet transform can fine signal segmentation into each frequency band,and can play an role in filtering,the frequency range of the analysis.(2)There is a good correspondence between the infrasonic signals of coal specimen burst and the stress in the time,especially the infrasonic signal shows a significant mutation during stress drop.The stress drop reflects the emergence of macroscopic cracks to some extent,indicating that infrasonic signal has a good sensitivity to macroscopic cracks.(3) The frequency of the infrasonic signals of coal specimen burst are all distributed in 0 ~ 20 Hz,but mainly in 3.125 ~ 12.5 Hz and 18.75 ~ 21.875 Hz.The signal analysis method with wavelet packet transform and the frequency characteristics of the infrasonic signals of coal specimen burst can provide the study basis and reference for further research.

关键词

次声波/小波包变换/单轴压缩/煤岩动力灾害

Key words

infrasonic wave/wavelet packet transform/uniaxial compression/coal or rock dynamic disaster

分类

建筑与水利

引用本文复制引用

王云刚,王庆军,魏建平,雷东记..基于小波包变换的煤样破裂次声信号频率特征分析[J].河南理工大学学报(自然科学版),2018,37(2):1-7,7.

基金项目

国家自然科学基金资助项目(51574112,U1704129) (51574112,U1704129)

教育部创新团队发展计划项目(IRT-16R22) (IRT-16R22)

教育部科学技术研究重点项目(213022A) (213022A)

河南省科技创新杰出青年项目(164100510013) (164100510013)

河南省科技厅基础与前沿研究项目(152300410210) (152300410210)

河南理工大学学报(自然科学版)

OA北大核心CSTPCD

1673-9787

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