Jiefan Gu
Papers
1
Total Citations
50
H-Index
1
About
Jiefan Gu is a researcher specializing in thermal imaging, fault diagnostics, and infrastructure monitoring, with a focus on enhancing the reliability and safety of urban utility systems. His most notable contribution is the development of an automatic fault diagnosis algorithm for hot water pipes using infrared thermal images, published in 2022 and cited 50 times. This work integrates computer vision and machine learning techniques to detect anomalies in buried pipelines, offering a non-invasive, cost-effective solution for early fault identification. By automating the analysis of thermal patterns, Gu’s algorithm reduces reliance on manual inspection, improving accuracy and response times in critical infrastructure maintenance. His research bridges the gap between thermal physics and practical engineering, with potential applications in district heating networks and industrial piping systems. Gu’s work has been recognized for its practical impact, contributing to safer and more efficient urban energy distribution. His ongoing efforts continue to advance the field of condition-based monitoring, making him a key figure in the intersection of thermal imaging and infrastructure diagnostics.
Research Focus
Key Achievements
Top Papers
- 1