Impact localization for composite based on acoustic emission and neural networks

SU Yong-zhen; YUAN Shen-fang; ZHANG Bing-liang

doi:10.13873/j.1000-97872009.09.004

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Impact localization for composite based on acoustic emission and neural networks

更新时间：2025-09-11

- Impact localization for composite based on acoustic emission and neural networks
- Vol. 28, Issue 9, Pages: 56-58+61(2009)
- 作者机构：
  
  南京航空航天大学智能材料与结构航空科技重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.09.004
  CLC： TB33
- Published：2009
- 稿件说明：
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[1]苏永振,袁慎芳,张炳良.基于声发射和神经网络的复合材料冲击定位[J].传感器与微系统,2009,28(09):56-58+61.

SU Yong-zhen, YUAN Shen-fang, ZHANG Bing-liang. Impact localization for composite based on acoustic emission and neural networks[J]. 2009, 28(9): 56-58+61.
[1]苏永振,袁慎芳,张炳良.基于声发射和神经网络的复合材料冲击定位[J].传感器与微系统,2009,28(09):56-58+61. DOI： 10.13873/j.1000-97872009.09.004.

SU Yong-zhen, YUAN Shen-fang, ZHANG Bing-liang. Impact localization for composite based on acoustic emission and neural networks[J]. 2009, 28(9): 56-58+61. DOI： 10.13873/j.1000-97872009.09.004.

摘要

为了提高复合材料结构冲击定位的精度和实时性

基于声发射和神经网络技术

提出了复合材料结构冲击定位两步法

以压电陶瓷（PZT）和自制信号采集系统替代商用声发射仪器

实现了一种能够高精度、实时、在线监测冲击的系统。用小波变换求出原点处冲击源传播到各传感器的波达时间差

用这组时间差修正其他位置上的冲击源到达各传感器的波达时间

利用修正后的波达时间

根据四点圆弧定位算法得到冲击源坐标

实现初步定位;将所求出的位置坐标作为神经网络的输入

训练之后的神经网络可以准确预测冲击位置

实现精确定位。在复合材料板上的试验表明:该方法能快速、准确地识别出冲击位置。

Abstract

In order to improve accuracy and real-time of impact localization for composite

two-step method based on acoustic emission and neural networks is proposed and a real-time and on-line impact monitoring system for composite is developed by using piezoelectric transducers（PZT）.The self-made signal collection system

instead of commercial acoustic emission instrument.Wavelet transformation is used to estimate time-delay of the impact source in the origin propagateing to several transducers.Arrival-time of other impact sources between several transducers is corrected by the time-delay.Combining the corrected arrival-time and four-point arc localization

impact source coordinates are calculated.The calculated coordinates are used as input of neural networks

the trained neural networks can determine accurately position of impact source.Experiments on laminated composite indicate that the present methodology may identify impact location fast and accurately.

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references

声发射技术及其在检测中的应用 [J]. 胡昌洋,杨钢锋,黄振峰,毛汉领. 计量与测试技术 . 2008(06)

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