Longfei Zhu

Papers

Total Citations

H-Index

About

Longfei Zhu is a researcher specializing in machine vision, automated inspection systems, and industrial maintenance technologies, with a particular focus on applications within the energy sector. His most notable work, "A Machine Vision-Based Automatic Inspection System for Power Station Coal Bunkers Maintenance" (2021), demonstrates his commitment to bridging the gap between advanced computer vision techniques and real-world industrial challenges. In this research, Zhu developed an intelligent automated system capable of detecting critical maintenance issues in thermal power plant coal bunkers, including premature bolt wear and lining edge warping — problems that directly impact both operational efficiency and plant safety. By replacing or augmenting traditional manual inspection methods with machine vision-driven automation, his work contributes meaningfully to reducing human risk and improving reliability in hazardous industrial environments. While still building his citation profile with 6 citations on his leading paper, Zhu represents an emerging voice in the intersection of artificial intelligence, automation engineering, and power infrastructure maintenance — areas of growing global importance as industries seek smarter, safer, and more efficient operational solutions.