Anxin Zou
Papers
1
Total Citations
3
H-Index
1
About
Anxin Zou is a researcher whose work lies at the intersection of artificial intelligence and high-voltage electrical engineering, with a particular focus on the practical deployment of inspection robots in substations. His most-cited paper, "Research on Distortion Field of Inspection Robot around 500kV Substation Transformer" (2019), addresses a critical challenge in the field: ensuring that autonomous robots can operate reliably within the complex and intense electromagnetic environments of 500kV substations. By analyzing the distortion fields around transformers, Zou's research provides foundational insights into how electromagnetic interference affects robotic navigation and sensor accuracy. This work is essential for advancing the safety and efficiency of automated inspections in power infrastructure, a key step toward modernizing grid maintenance. While his citation count is modest, his contributions are highly relevant to the growing intersection of AI and energy systems, offering practical solutions for real-world industrial applications. Zou’s research underscores the importance of bridging theoretical AI development with the demanding constraints of high-voltage environments.
Research Focus
Key Achievements
Top Papers
- 1