Feature Selection of Arc Sound in MIG Welding Based on Core Principal Component Analysis
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Feature Selection of Arc Sound in MIG Welding Based on Core Principal Component Analysis
Vol. 16, Issue 5, Pages: 30-33(2011)
作者机构:
1. 东北林业大学机电工程学院
2. 哈尔滨学院理学院
3. 哈尔滨理工大学荣成学院
4. 哈尔滨理工大学材料科学与工程学院
作者简介:
基金信息:
DOI:
CLC:TG403
Published:2011
稿件说明:
移动端阅览
BI Shu-juan, HAN Yu-jie, LAN Hu, et al. Feature Selection of Arc Sound in MIG Welding Based on Core Principal Component Analysis[J]. 2011, 16(5): 30-33.
DOI:
BI Shu-juan, HAN Yu-jie, LAN Hu, et al. Feature Selection of Arc Sound in MIG Welding Based on Core Principal Component Analysis[J]. 2011, 16(5): 30-33.DOI:
Feature Selection of Arc Sound in MIG Welding Based on Core Principal Component Analysis
摘要
以不同焊接状态电弧声信号识别为目的
从MIG焊平板对接射流过渡电弧声信号入手
探寻电弧声产生机理和传播特性.提出电弧声是气体放电的伴生物
是等离子体集体振荡以波形方式传播的结果
也是声源和声道共同作用的产物
其频谱特性主要取决于声道的频率响应.在此基础上
采用线性预测分析技术
提取了表征焊缝熔透状态的10维电弧声信号特征向量
并采用核主成分分析技术成功进行了特征级参数的融合
实现了原始特征空间压缩
最终以2维合成向量取代高维特征向量
为后续利用电弧声信号实现MIG焊典型熔透状态的分类提供了技术支持.
Abstract
Aiming at the recognition of the arc sound signal in different welding status
the mechanism of arc sound generation and propagation are investigated from MIG butt welding with spray transfer.It is proposed that arc sound is an associated thing of gas discharge
the result of transmitting by the wave when the plasma collectively vibrates
and the outcome of their combined action
including the sound source and the sound track.Among them
the spectrum characteristic chiefly depends on the frequency re...