Xiaowan Wang

Papers

Total Citations

H-Index

About

Xiaowan Wang is a researcher specializing in the intersection of artificial intelligence and high-voltage electrical engineering, with a particular focus on the electromagnetic compatibility of inspection robots in substation environments. Her most cited work, "Research on Distortion Field of Inspection Robot around 500kV Substation Transformer" (2019), addresses a critical challenge in modern power grid maintenance: ensuring that AI-driven robotic systems can operate reliably within the intense electromagnetic fields of 500kV substations. By analyzing the distortion field distribution around transformers, Wang has provided foundational insights into how electromagnetic interference affects robotic sensor accuracy and navigation systems. This research is vital for the safe deployment of autonomous inspection technologies in high-voltage environments, directly supporting the modernization of power infrastructure. While her citation count is currently modest, her work represents an important step in bridging artificial intelligence with practical, high-stakes industrial applications. Wang's contributions are particularly relevant for researchers and engineers working on robotics in harsh electromagnetic environments, offering a framework for designing more resilient inspection systems that can withstand the complex field distortions characteristic of large-scale electrical installations.