LU Zhen-wei
Papers
1
Total Citations
3
H-Index
1
About
LU Zhen-wei has made significant contributions to intelligent fault diagnosis in power systems, with a primary focus on transformer bushing health monitoring and inspection robotics. His most cited work, "Research on transformer bushing fault recognition based on image identification and support vector machine" (2018, 3 citations), pioneered the use of infrared thermal imaging captured by inspection robots for precise localization of heating defects in electrical equipment. This research bridges computer vision and machine learning, demonstrating how automated image analysis can enhance equipment fault diagnosis. By integrating support vector machine classification with robotic inspection data, LU developed a framework that streamlines the detection of thermal anomalies, reducing reliance on manual inspections. His work addresses critical challenges in power grid maintenance, where early fault detection prevents catastrophic failures. While his citation count remains modest, the practical implications of his research are substantial, offering a scalable solution for real-time monitoring of high-voltage equipment. LU's contributions exemplify the growing synergy between robotics and deep learning in industrial applications, laying groundwork for smarter, more resilient energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1