Tongshuai Yang
Papers
1
Total Citations
10
H-Index
1
About
Tongshuai Yang is a researcher specializing in intelligent welding monitoring and signal processing for robotic gas metal arc welding (GMAW), with a particular focus on shipbuilding applications. His work centers on developing advanced sensing and denoising techniques to improve weld quality assessment in automated manufacturing environments. Yang’s most notable contribution is his development of an improved wavelet denoising method for arc sound signal analysis, which enables more accurate pattern identification of welding penetration states—a critical factor for ensuring structural integrity in ship hull fabrication. His 2023 paper on this topic has already garnered 10 citations, demonstrating its relevance to the field. By addressing the challenge of noise interference during signal acquisition, Yang has advanced the practical implementation of acoustic sensing for real-time welding monitoring. His research bridges the gap between traditional welding processes and intelligent manufacturing, offering solutions that enhance both productivity and quality control in industrial robotic welding systems. Yang’s work continues to influence the development of non-destructive evaluation methods for metal joining processes.
Research Focus
Key Achievements
Top Papers
- 1