Bai Jian-wei

Papers

Total Citations

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About

Bai Jian-wei is a researcher specializing in high-voltage insulation diagnostics and intelligent inspection technologies for gas-insulated switchgear (GIS) equipment. His work centers on developing advanced foreign matter detection and recognition methods, particularly through the integration of ultraviolet and visible-light imaging with robotic platforms. His most-cited paper, "Foreign Matter Recognition Technology of Robot in GIS Based on Ultraviolet/Visible Light" (2021), addresses a critical challenge in power systems: the difficulty of detecting and removing internal contaminants within long-tube GIS structures, where traditional cleaning methods like vacuuming or manual wiping fall short. By combining multispectral sensing with robotic automation, Bai’s research offers a more precise, non-invasive approach to identifying insulation-threatening foreign objects, directly improving equipment reliability and reducing outage risks. Although his citation count is currently modest, his work represents a practical, application-driven contribution to smart grid maintenance. Bai’s focus on merging optical sensing with robotics positions him at the intersection of electrical engineering and automation, offering valuable insights for researchers and engineers working on condition monitoring and fault prevention in high-voltage infrastructure.