Zhelei Xia

Papers

Total Citations

283

H-Index

About

Dr. Zhelei Xia is a leading researcher at the forefront of intelligent manufacturing and industrial digitalization, with a primary focus on predictive maintenance and digital twin technology. His seminal 2023 overview paper, "Overview of predictive maintenance based on digital twin technology," has garnered 283 citations, establishing a foundational framework for integrating real-time virtual replicas with machine learning to revolutionize equipment health management. Dr. Xia’s major contribution lies in systematically bridging the gap between traditional, reactive maintenance strategies and modern, data-driven predictive approaches, demonstrating how digital twins can enable continuous monitoring, fault diagnosis, and lifecycle optimization. His work has been instrumental in advancing smart manufacturing, reducing downtime, and improving operational efficiency across industries. Recognized for his ability to synthesize complex technical landscapes, Dr. Xia continues to shape the research agenda for Industry 4.0, making his contributions essential reading for engineers and scholars seeking to implement resilient, autonomous maintenance systems.