Huanqing Han

Beijing Institute of Technology, Zhuhai Institute of Advanced Technology, University of Huddersfield

Papers

Total Citations

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About

Huanqing Han is an emerging researcher specializing in condition monitoring, fault diagnosis, and vibration analysis for industrial robotic systems. Their work addresses a critical challenge in modern manufacturing: ensuring the reliability and operational health of industrial robots through advanced signal processing and diagnostic techniques. Han's most notable contributions center on developing vibration-based frameworks for monitoring the mechanical condition of industrial robots, with particular focus on RV (rotate vector) reducers — components central to robotic joint performance. Their 2021 paper on vibration analysis-based condition monitoring stands as their most influential work, accumulating 6 citations, while subsequent studies have expanded this foundation into specialized fault diagnosis methodologies and mathematical modelling approaches. More recently, Han has extended this research into collaborative robotics, investigating residual-based detection methods for identifying abnormal joint behavior in collaborative robot systems. Collectively, Han's publications reflect a coherent and evolving research agenda aimed at bridging mechanical diagnostics with intelligent monitoring systems. With a growing body of work spanning 2021 to 2024 and accumulating citations across multiple venues, Han represents a promising voice in the robotics reliability and predictive maintenance community, an area of increasing industrial significance.