LiangPeng Ye
Papers
1
Total Citations
7
H-Index
1
About
LiangPeng Ye is a researcher specializing in intelligent inspection and defect recognition technologies for power systems, with a particular focus on cable health monitoring. His work addresses critical challenges in power system operation and maintenance, specifically developing automated methods for detecting cable insulation damage and temperature anomalies in complex environments. His most-cited paper, "Research on Cable Defect Recognition Technology Based on Image Contour Detection" (2021), has garnered 7 citations and introduces a cable defect identification system that leverages image contour detection algorithms to identify insulation layer damage and temperature irregularities. This contribution is notable for its practical application in cable trench inspections, enhancing the reliability and safety of power infrastructure. Ye's research bridges computer vision and electrical engineering, offering scalable solutions for real-world maintenance challenges. His work is particularly relevant for researchers and engineers developing autonomous inspection systems for critical energy infrastructure, demonstrating how image processing techniques can be adapted for industrial defect recognition.
Research Focus
Key Achievements
Top Papers
- 1