Guang‐Yu Yang

Papers

1

Total Citations

2

H-Index

1

About

Guang-Yu Yang is a researcher specializing in high-voltage transmission line inspection and intelligent robotics for power systems. His work focuses on addressing critical challenges in the live-line maintenance of overhead transmission lines, particularly the detection and assessment of insulator strings—key components for insulation and support. Yang’s most notable contribution is his pioneering study on the design of an intelligent robot for insulator inspection, which employs an electric field method to enhance detection reliability and safety. This work, published in 2017, tackles fundamental technical problems in insulator string diagnostics, aiming to improve the efficiency and accuracy of live-line operations. While his citation count remains modest, with his leading paper garnering 2 citations, Yang’s research represents a foundational step in the integration of robotics and electric field analysis for power grid maintenance. His efforts contribute to the broader goal of automating high-risk inspection tasks, reducing human exposure to dangerous live-line environments, and bolstering the reliability of electrical infrastructure. Yang’s work is of particular interest to students and researchers exploring robotics applications in energy systems and condition monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Study of Intelligent Robot for Insulators Based on Electric Field Method
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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