Yunfan Yang

China Electronic Product Reliability and Environmental Test Institute

Papers

Total Citations

H-Index

About

Yunfan Yang is a researcher focused on advancing industrial automation and intelligent systems, with particular expertise in remote monitoring, maintenance technologies, and robotics. Their most notable contribution is the design of a comprehensive remote monitoring and maintenance system for industrial robots, which integrates external sensors, data acquisition, trend analysis, and cloud services to enable real-time equipment status tracking and reduce operational costs. This work, published in 2022, has garnered 2 citations and represents a practical step toward more efficient and cost-effective industrial operations. Yang’s research addresses critical challenges in predictive maintenance and system reliability, offering scalable solutions that bridge the gap between traditional manufacturing and Industry 4.0. By leveraging cloud-based architectures and data-driven analytics, their work supports the growing demand for autonomous, remotely managed robotic systems. Yang’s contributions are particularly valuable for students and researchers exploring the intersection of robotics, IoT, and industrial informatics, providing a foundation for future innovations in smart factory environments.