Zhongyuan Mao
Papers
1
Total Citations
6
H-Index
1
About
Zhongyuan Mao is a researcher specializing in mechanical fault diagnosis and precision measurement technologies, with a particular focus on industrial robotics and gear systems. His work centers on developing innovative detection methods for critical components, most notably through the application of laser displacement sensors and instantaneous phase analysis. In his highly cited 2022 study, Mao proposed a novel instantaneous phase detection technique based on eccentric modulation and laser displacement sensors to address spur gear faults in rotation vector (RV) reducers—a common failure point in industrial robots. By using the RV-20E reducer as a testbed, he demonstrated how this approach enables early, accurate fault identification, significantly improving reliability and maintenance strategies for robotic systems. With 6 citations to date, this work has already gained attention for its practical impact on reducing downtime and enhancing performance in automated manufacturing. Mao’s contributions bridge the gap between advanced sensor technology and real-world engineering challenges, making him a rising voice in the field of mechanical condition monitoring and precision diagnostics.
Research Focus
Key Achievements
Top Papers
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