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激光焊接缺陷声信号的小波分析
引用本文:曾浩,周祖德,骆红,胡伦骥,胡席远.激光焊接缺陷声信号的小波分析[J].中国激光,2000,27(5):471-476.
作者姓名:曾浩  周祖德  骆红  胡伦骥  胡席远
作者单位:1. 华中理工大学机械科学与工程学院,武汉,430074
2. 华中理工大学材料科学与工程系,武汉,430074
摘    要:利用小波变换对拾取的激光焊接等离子体的 AE信号进行分析 ,通过对比激光焊接的稳定过程及出现间隙、错边缺陷时的 AE信号 ,发现信号的低频分量在缺陷发生时幅值较正常稳定焊接时有较明显的下降 ;AE信号在 156 2~ 6 2 50 Hz频段部分的能量也存在类似现象。利用小波分解技术能够将信号划分到不同的频带范围这一特性 ,可以实现 AE信号的信息分离 ,从而能够提取AE信号的特征信息 ,进而实现对激光焊接的过程控制。

关 键 词:激光焊接  监测  小波分析
收稿时间:1998/11/23

Wavelet Analysis of Acoustic Emission Signals with Welding Defect in Laser Welding
Zeng Hao,Zhou Zude,Luo Hong,Hu Lunji,Hu Xiyuan.Wavelet Analysis of Acoustic Emission Signals with Welding Defect in Laser Welding[J].Chinese Journal of Lasers,2000,27(5):471-476.
Authors:Zeng Hao  Zhou Zude  Luo Hong  Hu Lunji  Hu Xiyuan
Abstract:The AE (acoustic emission) signals of plasma during laser welding were studied using wavelet analysis. Comparing AE signals in welding process with and without joint gap or misalignment problem, the significant differences in AE signals can be observed. The amplitude of low frequency component of AE signals is fallen down remarkably when the welding defects occur. The same phenomena are also observed in the energy in the frequency band from 1562 Hz to 6250 Hz. Considering that wavelet analysis can decompose the AE signals into several frequency bands, the characteristic information can be extracted, which can be used to implement process control of laser welding.
Keywords:laser welding  monitoring  wavelet analysis
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