Real-time monitoring of high-power disk laser welding based on support vector machine
Real-time monitoring of high-power disk laser welding based on support vector machine
复制标题
基于支持向量机的大功率盘式激光焊接实时监控
DOI：
10.1016/j.compind.2017.10.003
复制
发表时间：
2018-01-01
影响因子：
10
通讯作者：
Li, Wei
中科院分区：
文献类型：
--
作者：
Chen, Juequan;Wang, Teng;Li, Wei
本文针对大功率圆盘激光焊接的特点，研制了一套高效的质量监测系统，用于对大功率圆盘激光焊接过程进行真实的实时监测。提取了激光诱导金属蒸气羽流和飞溅的15个特征，采用支持向量机建立分类器对焊接质量进行评价。采用特征选择方法选择合适的特征。实验结果表明，该方法具有良好的性能，可应用于实时监测应用。(C)2017爱思唯尔B.V.保留所有权利。
In this paper, an efficient quality monitoring system for monitoring high-power disk laser welding in real time was developed. Fifteen features of laser-induced metal vapor plume and spatters were extracted and support vector machine was adopted to establish a classifier to evaluate the welding quality. Feature selection method was employed to choose suitable features. The experiment results demonstrated that this method had satisfactory performance and could be applied to real-time monitoring application. (C) 2017 Elsevier B.V. All rights reserved.