Xiaoni Dong
Papers
1
Total Citations
3
H-Index
1
About
Xiaoni Dong is a researcher focused on intelligent manufacturing and real-time process monitoring, with a particular emphasis on robotic welding systems. Her work centers on the innovative use of audible sound sensing technology to assess and control welding quality—a critical challenge in automated production environments. In her most-cited paper, "Frequency Selection for On-line Identification of Welding Penetration through Audible Sound" (2017), Dong systematically investigates how specific frequency components of sound signals can be used to distinguish between different weld penetration states. This contribution is foundational for developing non-invasive, real-time quality control methods that can be integrated into robotic welding workflows, moving toward truly intelligent manufacturing. While her citation count is still growing, her research addresses a practical and industrially relevant problem, offering a pathway to more reliable automation. Dong’s work is particularly valuable for students and engineers interested in sensor-based process monitoring, signal processing, and the intersection of acoustics with manufacturing technology.
Research Focus
Key Achievements
Top Papers
- 1