Yichuan Xu
Papers
1
Total Citations
27
H-Index
1
About
Yichuan Xu’s research centers on the reliability and precision of mechanical systems, with a particular focus on gear mechanisms and kinematic accuracy. His most-cited work, “A method to determine kinematic accuracy reliability of gear mechanisms with truncated random variables” (2015), has garnered 27 citations, establishing a foundational approach for evaluating how manufacturing uncertainties impact the performance of gear trains. Xu’s contributions lie in developing probabilistic models that account for truncated, non-normal random variables—a realistic refinement over traditional Gaussian assumptions—thereby enabling more robust design and quality control in precision machinery. This work has practical implications for industries requiring high-reliability transmissions, such as robotics and aerospace. Beyond this paper, Xu’s research portfolio explores reliability optimization and tolerance analysis, bridging theoretical statistics with engineering application. His method has been cited by peers working on gear dynamics and mechanical system reliability, underscoring its utility in advancing predictive maintenance and design validation. For students and researchers, Xu’s work exemplifies how rigorous statistical treatment of real-world variability can enhance the dependability of critical mechanical components.
Research Focus
Key Achievements
Top Papers
- 1