Dongqin Li
Papers
2
Total Citations
5
H-Index
2
About
Dongqin Li is a researcher advancing the reliability and safety of industrial robotic systems, with a primary focus on fault diagnosis and condition monitoring. Their work centers on the early detection of mechanical failures in critical components, such as RV reducers and collaborative robot joints, using vibration analysis and residual-based signal processing techniques. Li’s most-cited paper, "Fault Diagnosis of RV Reducers Used in Industrial Robots Based on Vibration Analysis" (2023), has garnered 3 citations, establishing a foundation for non-invasive diagnostics in high-precision robotics. A subsequent study, "Residual-Based Fault Detection of Abnormal Joint Running State of Industrial Collaborative Robot" (2024), with 2 citations, extends this approach to real-time monitoring of collaborative robots, addressing the growing need for safe human-robot interaction. Though early in their career, Li’s contributions are notable for bridging theoretical fault detection methods with practical industrial applications, offering cost-effective solutions for predictive maintenance. Their work is particularly relevant for researchers and engineers seeking to enhance robot uptime and operational safety in manufacturing environments.
Research Focus
Key Achievements
Top Papers
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