Huiling Kuang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Huiling Kuang is a researcher at the forefront of applying machine vision and automation technologies to industrial maintenance and safety, with a particular focus on thermal power plant infrastructure. Her work addresses critical challenges in equipment reliability, especially concerning coal bunker liners—components essential for both operational function and plant safety. In her most cited study, Dr. Kuang developed an automatic inspection system that detects common failures such as premature bolt wear and lining edge warping, offering a significant advancement over manual inspection methods. This research, which has garnered 6 citations, demonstrates her commitment to enhancing maintenance efficiency and preventing catastrophic failures in power stations. By integrating computer vision with practical engineering needs, Dr. Kuang’s contributions help bridge the gap between cutting-edge automation and real-world industrial applications. Her work not only improves safety protocols but also reduces downtime and maintenance costs, making her a valuable voice in the ongoing digital transformation of heavy industry.
Research Focus
Key Achievements
Top Papers
- 1