Cross correlation analysis and time delay estimation of acoustic emission signals of rock based on wavelet transform

KANG Yu-mei; ZHU Wan-cheng; CHEN Geng-ye; YIN Xiao-qin

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Cross correlation analysis and time delay estimation of acoustic emission signals of rock based on wavelet transform

更新时间：2026-06-25

- Cross correlation analysis and time delay estimation of acoustic emission signals of rock based on wavelet transform
- Vol. 32, Issue 7, (2011)
- 作者机构：
  
  东北大学资源与土木工程学院,沈阳,110004
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU459
- Online First：30 June 2011，
  
  Published：2011
- 稿件说明：
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KANG Yu-mei, ZHU Wan-cheng, CHEN Geng-ye, et al. Cross correlation analysis and time delay estimation of acoustic emission signals of rock based on wavelet transform[J]. 2011, 32(7).
DOI：

KANG Yu-mei, ZHU Wan-cheng, CHEN Geng-ye, et al. Cross correlation analysis and time delay estimation of acoustic emission signals of rock based on wavelet transform[J]. 2011, 32(7). DOI：

摘要

声发射全波形采集为基于波形分析的声源定位方法提供了可能。声发射源定位方法中最常用的是时差定位方法，因此，时差获取精确与否直接影响定位的精度。借助于小波变换和互相关技术研究声发射信号的时延估计，首先利用小波分析技术对信号进行分解，确定有意义信号的频带宽度，再提取分解后的相应频带的小波系数，利用互相关技术计算出该频带信号到达各传感器的时差，进而利用时差定位法反演声发射源，实现了声发射源更精确的定位。经声发射监测验证结果表明，该时延估计方法能有效地减小声发射源定位的误差，提高声发射源的定位精度，为准确反演声发射源提供了一种有效途径。

Abstract

The full wave form acquisition of acoustic emission (AE) signal provides the possibility of source location based on waveform analysis. The time differences between several sensors are commonly used for AE source location; and the accuracy of time differences has a direct influence on the location accuracy. Based on the wavelet transform cross correlation

the time delay estimation of AE signal is studied. Firstly

through wavelet analysis

signals are decomposed into a series of time-domain signals

each of which covers a specific octave frequency band. Then

the frequency band of meaningful signals were ascertained

based on which the wavelet coefficients of corresponding frequency band after being decomposed were extracted. Finally

the method of cross correlation was applied to reconstruct the signals

to calculate the arrival time of AE waves and to locate the AE source. The results indicate that: compared with the AE monitoring experimental results

the newly proposed AE location method using cross correlation based on wavelet transform can effectively improve the location accuracy of AE source; so as to provide an effective way for AE source inversion.

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