Yuejian Chen

Tongji University

Papers

1

Total Citations

55

H-Index

1

About

Dr. Yuejian Chen is a leading researcher in intelligent manufacturing and mechanical transmission systems, with a primary focus on gearbox condition monitoring and prognostics. His most impactful work introduces a cyclostationarity-based framework for wear monitoring in spur gears, addressing a critical challenge in smart factories where gear surface degradation can lead to catastrophic failures. This 2023 study, already garnering 55 citations, demonstrates how advanced signal processing can detect early-stage wear in machine tools and robotics, enabling predictive maintenance and reducing downtime. Dr. Chen’s contributions bridge the gap between theoretical cyclostationary analysis and practical industrial applications, offering a robust methodology for real-time health assessment of gear systems. His research is pivotal for the reliability of automated production lines, where gearbox failures can halt entire manufacturing processes. By developing non-invasive monitoring techniques, he has provided engineers with tools to extend equipment lifespan and optimize maintenance schedules. Dr. Chen’s work continues to influence the fields of mechanical diagnostics, smart manufacturing, and industrial IoT, making him a key figure in advancing the resilience of modern production systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
55
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems
55 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tongji University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago