Zitian Fan

Papers

Total Citations

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About

Zitian Fan is a researcher focused on intelligent manufacturing and industrial cyber-physical systems, with a particular emphasis on condition monitoring and predictive maintenance for industrial robotics. Their most cited work, "Research on industrial robot reducer state monitoring cloud platform" (2020, 3 citations), addresses critical challenges in smart manufacturing by proposing a cloud-based monitoring system for industrial robot reducers. Fan’s research leverages cyber-physical modeling theory to tackle the complexities of massive failure data, high stability requirements, and real-time control demands in automated production environments. By designing a cloud platform that enables continuous, remote monitoring of reducer states, Fan contributes to reducing downtime and improving operational efficiency in industrial settings. This work is especially relevant to the growing field of Industry 4.0, where data-driven diagnostics and cloud integration are transforming factory maintenance strategies. Fan’s research offers practical solutions for engineers and researchers working on intelligent monitoring systems, predictive analytics, and the reliability of robotic components.