Yexing Lang
Papers
2
Total Citations
9
H-Index
2
About
Yexing Lang has made pioneering contributions to the non-destructive testing of high-voltage power equipment, with a primary focus on X-ray imaging technology for Gas Insulated Switchgear (GIS) and Gas Insulated Transmission Lines (GIL). Their research addresses critical challenges in maintaining the reliability of these widely used systems, which are essential for compact and efficient power distribution. Lang’s most cited work (2022, 7 citations) systematically investigates how X-ray digital imaging can detect internal defects in GIS without requiring disassembly, significantly improving maintenance safety and efficiency. Building on this foundation, their subsequent study (2022, 2 citations) extends the methodology to robotic detection systems, enabling automated, remote inspection of both GIS and GIL components. By integrating advanced imaging with mechanical automation, Lang has developed practical solutions that reduce downtime and human risk in substation maintenance. Their research bridges the gap between theoretical imaging physics and real-world utility applications, offering a scalable approach for modern smart grid diagnostics. Lang’s work is particularly notable for its direct industrial applicability, providing a non-invasive alternative to traditional physical inspections. As the demand for reliable, automated power infrastructure grows, their contributions position them as a key innovator in the field of electrical equipment condition monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2