Xiuquan Sun

University of Huddersfield

Papers

1

Total Citations

3

H-Index

1

About

Xiuquan Sun is a researcher focused on the reliability and performance of industrial robotics, with a particular emphasis on fault diagnosis and vibration analysis. His most cited work, "Fault Diagnosis of RV Reducers Used in Industrial Robots Based on Vibration Analysis" (2023), has garnered 3 citations, marking a foundational contribution to the field of predictive maintenance. Sun’s research addresses a critical challenge in modern manufacturing: detecting early-stage faults in precision components like RV reducers, which are essential for robot accuracy and longevity. By leveraging advanced vibration analysis techniques, he provides a non-invasive, data-driven methodology that enhances operational safety and reduces downtime. This work not only advances the theoretical understanding of mechanical fault signatures but also offers practical tools for engineers in automation and robotics. Sun’s contributions are particularly valuable as industries increasingly rely on robots for complex tasks, making his research a stepping stone for future innovations in condition monitoring and smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Fault Diagnosis of RV Reducers Used in Industrial Robots Based on Vibration Analysis
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Huddersfield

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago