Chenyang Fan
Papers
1
Total Citations
7
H-Index
1
About
Chenyang Fan is a leading researcher in intelligent manufacturing and precision machining, with a primary focus on robotic abrasive belt grinding and tool condition monitoring. His work bridges the gap between advanced sensor technology and real-time process optimization, enabling more efficient and reliable automated manufacturing systems. Fan’s most cited paper, “Online tool condition monitoring based on optimized multi-sensor acoustic features for robotic abrasive belt grinding” (2025, 7 citations), introduces a novel method for detecting tool wear and failure in real time by fusing acoustic signals from multiple sensors. This contribution is critical for reducing downtime and improving surface quality in high-precision grinding operations. By optimizing feature extraction and classification algorithms, Fan has demonstrated how low-cost acoustic monitoring can replace expensive, intrusive inspection methods. His research directly supports the development of smart factories, where adaptive control systems respond to tool degradation without human intervention. With a growing citation record and a clear trajectory toward industrial application, Chenyang Fan is establishing himself as a key innovator in cyber-physical production systems and condition-based maintenance.
Research Focus
Key Achievements
Top Papers
- 1