Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel

Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel

Laser welding is a rapidly developing technology that is of utmost importance in a number of industrial processes. The physics of the process has been investigated over the past 50 years and is mostly well understood. Nevertheless, online laser-quality monitoring remains an open issue until today du...

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Bibliographic Details
Main Authors: Sergey A. Shevchik, Tri Le-Quang, Farzad Vakili Farahani, Neige Faivre, Bastian Meylan, Silvio Zanoli, Kilian Wasmer
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Laser welding
titanium
quality monitoring
acoustic emission
back reflection
optical emission
Online Access:https://ieeexplore.ieee.org/document/8758117/

Internet

https://ieeexplore.ieee.org/document/8758117/

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