Ziquan Jiao
Papers
1
Total Citations
10
H-Index
1
About
Dr. Ziquan Jiao is a leading researcher in intelligent manufacturing and robotic welding, with a primary focus on advancing sensor-based monitoring for shipbuilding applications. His work centers on the integration of arc sound sensing and signal processing to improve the quality and automation of gas metal arc welding (GMAW). Dr. Jiao’s most cited paper, "Welding Penetration Monitoring for Ship Robotic GMAW Using Arc Sound Sensing Based on Improved Wavelet Denoising" (2023, 10 citations), introduces a novel method to filter noise from arc sound signals, enabling more accurate real-time detection of weld penetration states. This contribution is critical for enhancing the reliability of robotic welding systems in complex shipyard environments. By addressing the challenge of signal interference, Dr. Jiao’s research directly supports the development of smarter, more autonomous manufacturing processes. His work has been recognized for its practical impact on industrial automation, and he continues to push the boundaries of sensor fusion and pattern recognition in welding technology.
Research Focus
Key Achievements
Top Papers
- 1