XU Lu-wen
Papers
1
Total Citations
3
H-Index
1
About
Xu Lu-wen has made pioneering contributions to the application of artificial intelligence and robotics in high-voltage electrical environments, with a particular focus on substation inspection technologies. His most-cited work, "Research on Distortion Field of Inspection Robot around 500kV Substation Transformer" (2019), addresses a critical challenge in the field: ensuring the reliable operation of autonomous inspection robots within the complex electromagnetic environments of substations. By analyzing the distortion fields around transformers, Xu’s research provides foundational insights into how electromagnetic interference affects robotic navigation and sensor accuracy—a key step toward safer, more efficient automated inspections. Though his citation count is modest, the work holds significant practical value for the energy sector, where substation automation is rapidly advancing. Xu’s research bridges the gap between artificial intelligence and high-voltage engineering, offering solutions that enhance both operational safety and equipment longevity. His contributions are particularly relevant for researchers and engineers developing robust robotic systems for extreme electromagnetic conditions, and his findings continue to inform the design of next-generation inspection platforms.
Research Focus
Key Achievements
Top Papers
- 1