Xuedi Hao

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Xuedi Hao is a leading researcher in intelligent mining and underground engineering, with a focus on enhancing safety and automation in deep coal mining operations. His work spans three critical areas: ground control mechanics, intelligent fault diagnosis, and robotic positioning for mine automation. Hao’s major contributions include developing a novel method for determining the working resistance of advance support brackets in deep fully mechanized roadways using Flac3D simulations—a breakthrough that addresses the heightened accident risks associated with increased mining depth. This work, cited 8 times, has provided a practical framework for self-moving support and anchor combined units. In the realm of intelligent inspection, Hao introduced a new denoising method for belt conveyor roller fault signals, achieving 6 citations by tackling signal coupling interference in complex underground environments. His innovative body positioning method for bolting robots, based on monocular vision, has also garnered 6 citations and represents a key step toward unmanned excavation faces. Hao’s research is notable for its direct application in improving mine safety and operational efficiency, bridging the gap between theoretical modeling and real-world mining challenges.