Papers
1
Total Citations
6
H-Index
1
About
Lianghe Li is a researcher specializing in precision mechanical systems and fault diagnosis, with a particular focus on the reliability of rotation vector (RV) reducers used in industrial robots. His key research areas include gear fault detection, signal processing, and sensor-based condition monitoring. Li’s most notable contribution is the development of an instantaneous phase detection technology that leverages laser displacement sensors and eccentric modulation principles to diagnose spur gear faults in RV reducers. This work, published in 2022 and garnering 6 citations, addresses a critical challenge in industrial robotics—ensuring the operational accuracy and longevity of reducers under real-world conditions. By analyzing the RV-20E reducer, Li demonstrated a novel method that enhances fault sensitivity without requiring complex hardware modifications. His research bridges the gap between theoretical signal analysis and practical mechanical diagnostics, offering a cost-effective solution for predictive maintenance. Li’s work is particularly valuable for engineers and researchers in robotics and mechatronics, as it provides a pathway to improve the durability and performance of precision transmission systems.
Research Focus
Key Achievements
Top Papers
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