Xuefeng Jiang

Nanjing University of Science and Technology

Papers

2

Total Citations

23

H-Index

1

About

Xuefeng Jiang is a researcher specializing in the fault diagnosis and fault-tolerant control of permanent magnet synchronous motor (PMSM) drive systems, with a particular focus on their applications in industrial robotics. His work addresses one of the most critical challenges in modern automation: ensuring the reliability and operational continuity of motor-driven systems when component failures occur. Jiang's most notable contribution lies in developing intelligent fault diagnosis strategies for PMSM drive systems, including a pioneering approach leveraging grey prediction theory to detect open-circuit faults — a significant advancement for enabling early warning capabilities in industrial robot joints and machine tools. This work, published in 2022, has garnered 22 citations, reflecting its relevance to the robotics and motor control communities. His more recent 2024 research extends this expertise into fault-tolerant control methodologies, designing highly reliable PMSM systems capable of maintaining operation even under winding open-circuit fault conditions. Through his research, Jiang contributes meaningfully to the growing demand for robust, self-monitoring robotic systems in industrial environments, helping bridge the gap between theoretical motor control and practical, safety-critical automation applications.

Research Focus

Key Achievements

1
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Open circuit fault diagnosis strategy of PMSM drive system based on grey prediction theory for industrial robot
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago