[1]王伟①,李兴华②,陈作彬①,等.基于小波包变换的爆破振动信号能量熵特征分析[J].爆破器材,2019,48(06):19-23.[doi:10.3969/j.issn.1001-8352.2019.06.004]
　WANG Wei,LI Xinghua,CHEN Zuobin,et al.Characteristic Analysis of Energy Entropy of Blasting Vibration Signal Based on Wavelet Packet Transform[J].EXPLOSIVE MATERIALS,2019,48(06):19-23.[doi:10.3969/j.issn.1001-8352.2019.06.004]
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基于小波包变换的爆破振动信号能量熵特征分析()
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《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
48
期数:
2019年06
页码:
19-23
栏目:
基础理论
出版日期:
2019-12-09

文章信息/Info

Title:
Characteristic Analysis of Energy Entropy of Blasting Vibration Signal Based on Wavelet Packet Transform
文章编号:
5371
作者:
王伟①; 李兴华②; 陈作彬①; 范磊②; 孙飞①
①核工业南京建设集团有限公司（江苏南京, 210003）
②解放军陆军工程大学(江苏南京, 210007)
Author(s):
WANG Wei①;  LI Xinghua②;  CHEN Zuobin①;  FAN Lei②;  SUN Fei①
① Nuclear Industry Nanjing Construction Group Co., Ltd. (Jiangsu Nanjing, 210003)
② Army Engineering University of PLA (Jiangsu Nanjing, 210007)
关键词:
爆破振动信号; 小波包变换; 能量熵; 特征提取
Keywords:
blasting vibration signal;  wavelet packet transform;  energy entropy;  feature extraction
分类号:
TJ55
DOI:
10.3969/j.issn.1001-8352.2019.06.004
文献标志码:
A
摘要:
爆破振动信号是典型的短时非平稳随机信号。应用多分辨率特点的小波包变换对爆破振动信号进行多层分解，得到信号能量分布的细节信息。根据建立在概率统计基础上的信息熵概念，推导得到爆破振动信号能量熵计算方法。分析了4种类型爆破振动信号的能量熵，熵值由大到小为：隧道爆破、管道爆炸、台阶爆破、塌落振动。结果表明，能量熵能够反映不同类型爆破对振动信号的影响。提出将能量熵作为爆破振动信号的新特征量，为爆破振动信号特征提取、不同爆破类型振动信号识别和爆破振动预测提供一种新思路。
Abstract:
Blasting vibration signal is a typical short-time non-stationary random signal. Multi-resolution wavelet packet transform is used to decompose the blasting vibration signal in multiple layers to obtain the detailed information of the signal energy distribution. According to the concept of information entropy based on probability and statistics, energy entropy calculation method of blasting vibration signal was derived. Energy entropies of four types of blasting vibration signals were analyzed. The entropy values from large to small are tunnel blasting, pipe explosion, bench blasting, and collapse vibration. The results show that energy entropy can reflect the influence of different types of blasting on vibration signals. The energy entropy is proposed as a new feature quantity of blasting vibration signal, which provides a new idea for blasting vibration signal feature extraction, vibration signal of different blasting types recognition and blasting vibration prediction.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2019-06-10
基金项目：国家自然科学基金（51608530）
第一作者：王伟（1974－ ），男，高工，主要从事岩土爆破工程施工与技术管理工作。E-mail：102307388@qq.com
通信作者：李兴华（1985－ ），男，讲师，主要从事爆炸力学相关研究。E-mail：379523589@qq.com
更新日期/Last Update: 2019-12-03