Shirui Yang
Papers
1
Total Citations
22
H-Index
1
About
Dr. Shirui Yang is a leading researcher in industrial robotics and motor drive systems, with a primary focus on the reliability and fault diagnosis of permanent magnet synchronous motor (PMSM) drives. His most cited work, "Open circuit fault diagnosis strategy of PMSM drive system based on grey prediction theory for industrial robot" (2022, 22 citations), addresses a critical challenge in modern manufacturing: the automatic detection and early warning of faults in PMSM systems, which are essential for high-torque, compact robot joints and machine tools. By applying grey prediction theory, Dr. Yang developed a novel diagnostic strategy that enhances the safety and operational continuity of industrial robots. This contribution is particularly significant as it targets the "key and difficult point" of real-time fault identification, helping to prevent costly downtime and equipment damage. His research bridges theoretical modeling with practical engineering solutions, making him a notable figure in the advancement of intelligent, self-diagnosing motor systems for Industry 4.0 applications.
Research Focus
Key Achievements
Top Papers
- 1