Yangi-Shang
Papers
1
Total Citations
10
H-Index
1
About
Dr. Yangi-Shang’s research centers on the reliability, performance monitoring, and intelligent maintenance of industrial robotic systems, with a particular focus on the critical RV reducer component. Their most-cited work, “Remote performance evaluation, life prediction and fault diagnosis of RV reducer for industrial robot” (2020, 10 citations), introduces a pioneering framework that integrates remote monitoring technology with intelligent diagnostic methods to address the significant challenges of complex maintenance, prolonged downtime, and substantial economic loss in industrial robotics. By developing a system that enables real-time performance evaluation and life prediction, Dr. Yangi-Shang has made a substantial contribution to predictive maintenance, allowing for proactive fault detection and reduced operational disruptions. This work not only advances the theoretical understanding of RV reducer degradation but also provides a practical, scalable solution for modern manufacturing environments. Their research is instrumental in enhancing the autonomy and efficiency of industrial robots, with clear implications for Industry 4.0 and smart factory implementations. Dr. Yangi-Shang’s contributions are vital for engineers and researchers working to improve the longevity and reliability of automated systems.
Research Focus
Key Achievements
Top Papers
- 1