scholarly journals Quality Monitoring for Laser Welding Based on High-Speed Photography and Support Vector Machine

2017 ◽  
Vol 7 (3) ◽  
pp. 299 ◽  
Author(s):  
Teng Wang ◽  
Juequan Chen ◽  
Xiangdong Gao ◽  
Wei Li
Keyword(s):  
Support Vector Machine ◽  
Laser Welding ◽  
High Speed ◽  
Quality Monitoring ◽  
Support Vector ◽  
High Speed Photography

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

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 93108-93122 ◽  
Author(s):  
Sergey A. Shevchik ◽  
Tri Le-Quang ◽  
Farzad Vakili Farahani ◽  
Neige Faivre ◽  
Bastian Meylan ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Laser Welding ◽  
Quality Monitoring ◽  
Support Vector ◽  
Welding Quality ◽  
Adaptive Kernel ◽  
Data Adaptive

Defect detection during laser welding using electrical signals and high-speed photography

2019 ◽  
Vol 271 ◽  
pp. 394-403 ◽  
Author(s):  
Yiming Huang ◽  
Sai Xu ◽  
Lijun Yang ◽  
Shengbin Zhao ◽  
Yang liu ◽  
...  
Keyword(s):  
Laser Welding ◽  
Defect Detection ◽  
High Speed ◽  
High Speed Photography ◽  
Electrical Signals

Study of Plume Behavior during High-Power Disk Laser Welding

2012 ◽  
Vol 201-202 ◽  
pp. 1076-1079
Author(s):  
De Yong You ◽  
Xiang Dong Gao
Keyword(s):  
Laser Welding ◽  
High Power ◽  
High Speed ◽  
Welding Process ◽  
Image Sequences ◽  
Process Conditions ◽  
High Speed Photography ◽  
Disk Laser ◽  
Industrial Manufacturing ◽  
Laser Welding Process

Laser welding process has been widely used in industrial manufacturing. The purpose of this paper is to explore the inter-relation between laser welding results and the laser-induced plume behavior. High-power disk laser welding of stainless steel type304 was performed at different welding speeds. Combing the high speed camera and ultraviolet sensing filter, the plume image sequences of laser welding process have been obtained. Plume features including plume volume and plume flowing direction have been extracted by using high-speed photography and image processing technology. The dynamic behavior of laser-induced plume was investigated. The results showed that the laser-induced plume feature, especially the plume volume, was closely related to laser welding process conditions.

Short-Time Fluctuation Characteristic and Combined Forecasting of High-Speed Railway Passenger Flow Based on EEMD

2013 ◽  
Vol 409-410 ◽  
pp. 1071-1074
Author(s):  
Xiu Shan Jiang ◽  
Rui Feng Zhang ◽  
Liang Pan
Keyword(s):  
Support Vector Machine ◽  
Empirical Mode Decomposition ◽  
High Speed ◽  
Ensemble Empirical Mode Decomposition ◽  
Support Vector ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Mode Decomposition ◽  
Railway Passenger ◽  
Short Term Forecasting

Take Wuhan-Guangzhou high-speed railway for example. By adopting the empirical mode decomposition (EMD) attempt to analyze mode from the perspective of volatility of high speed railway passenger flow fluctuation signal. Constructed the ensemble empirical mode decomposition-gray support vector machine (EEMD-GSVM) short-term forecasting model which fuse the gray generation and support vector machine with the ensemble empirical mode decomposition (EEMD). Finally, by the accuracy of predicted results, explains the EEMD-GSVM model has the better adaptability.

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