Zaichuan Fan
Papers
1
Total Citations
6
H-Index
1
About
Zaichuan Fan is a researcher focused on precision mechanical systems and fault diagnosis, with particular expertise in the condition monitoring of rotation vector (RV) reducers used in industrial robotics. His most cited work introduces an innovative instantaneous phase detection technology that leverages a laser displacement sensor and eccentric modulation principles to identify spur gear faults in RV reducers. By targeting the RV-20E reducer specifically, Fan’s method offers a non-intrusive, high-precision approach to diagnosing gear degradation—a critical challenge for maintaining robotic performance and longevity. This contribution, published in 2022, has already garnered 6 citations, signaling its relevance to researchers in mechanical fault diagnosis and industrial automation. Fan’s work bridges sensor technology and mechanical analysis, providing a practical tool for early fault detection that can reduce downtime and repair costs in manufacturing settings. His research is particularly valuable for engineers developing more reliable robotic systems, as it addresses the subtle, often overlooked signs of gear wear through advanced phase measurement. With a clear focus on applied problem-solving, Fan continues to advance the reliability of critical mechanical components in automation.
Research Focus
Key Achievements
Top Papers
- 1