Sensor for the Detection of Protective Coating Traces on Boron Steel With Aluminium-Silicon Covering by Means of Laser-Induced Breakdown Spectroscopy and Support Vector Machines

被引：16

作者：

Anabitarte, Francisco ^{[1
]}

Mirapeix, Jesus ^{[1
]}

Conde Portilla, Olga Maria ^{[1
]}

Miguel Lopez-Higuera, Jose ^{[1
]}

Cobo, Adolfo ^{[1
]}

机构：

[1] Univ Cantabria, Photon Engn Grp, E-39005 Santander, Spain

来源：

IEEE SENSORS JOURNAL | 2012年 / 12卷 / 01期

关键词：

Feature selection; laser induced breakdown spectroscopy; laser-welding; plasma spectral analysis; quality monitoring; support vector machines; SVM; SYSTEMS;

D O I：

10.1109/JSEN.2011.2121902

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Welding processes are one of the most widespread industrial activities, and their quality control, in both online and offline methods, is an important area of research. In the particular process of laser welding of boron steel with aluminium-silicon covering in the automotive industry, one problem is the presence of residual traces from the protective antioxidant coating, an aluminium-silicon alloy, which can result in a significant reduction of the welding seam strength. This work proposes a sensor system based on a laser induced breakdown spectroscopy (LIBS) setup to detect and discriminate aluminium residues in the welding area without destroying the sample before the welding procedure. A spectral algorithm based on support vector machines (SVMs) is used as a classifier to automatically identify areas with aluminum presence.

引用

页码：64 / 70

页数：7

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