Ruibin Duan
Papers
1
Total Citations
2
H-Index
1
About
Ruibin Duan is a researcher focused on intelligent manufacturing and robotic welding process control, with particular expertise in real-time quality monitoring for arc welding systems. His most cited work, "Research on Quality Control of Arc Welding Robot Based on Molten Pool Contour Extraction" (2019), introduces a multi-information fusion detection method designed to mitigate the impact of uncertainties—such as arc light interference and thermal distortion—on welding quality. A key contribution is the use of an adaptive Wiener filtering algorithm to extract precise geometrical features from molten pool images, enabling robust contour extraction under challenging conditions. This approach enhances the reliability of automated welding by providing real-time feedback for quality control. While his citation count is currently modest, Duan’s work addresses a critical bottleneck in robotic welding: achieving consistent weld integrity in variable environments. His research has practical implications for industries like automotive and aerospace manufacturing, where precision welding is essential. Duan’s focus on sensor fusion and image processing positions him at the intersection of computer vision and industrial robotics, contributing to the advancement of smart factory technologies.
Research Focus
Key Achievements
Top Papers
- 1