Jiyong Zhong
Papers
11
Total Citations
517
H-Index
9
About
Dr. Jiyong Zhong is a leading figure in intelligent robotic welding, specializing in real-time sensing and control for Gas Tungsten Arc Welding (GTAW) processes. His pioneering work centers on developing multi-sensor fusion technologies—integrating passive vision, arc sound, and arc sensors—to enable autonomous seam tracking and weld quality control. Dr. Zhong’s most impactful contribution is his 2012 paper on real-time seam tracking using passive vision sensors, which has garnered 175 citations, establishing a foundational method for robotic welding guidance. He further advanced the field by demonstrating real-time control of welding penetration through audio sensing of arc length (95 citations) and by developing composite sensor systems for three-dimensional seam tracking (53 citations). His research on detecting penetration states via audible arc sound (37 citations) and modeling arc sound signals with wavelet analysis and hidden Markov models (11 citations) has provided novel, non-invasive approaches to quality assurance. Notably, Dr. Zhong has also addressed practical industrial challenges, such as multi-pass path planning for thick plates using vision sensors (25 citations) and eliminating back chipping in thick plate welding (17 citations). With over 500 total citations, his work has significantly advanced the automation and reliability of robotic GTAW, making him a key contributor to intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Multi-pass path planning for thick plate by DSAW based on vision sensor25 citations · 2014
- 8The realization of no back chipping for thick plate welding17 citations · 2014
- 9
- 10