Papers
1
Total Citations
8
H-Index
1
About
Xinyan Zhang is a leading researcher in mechanical transmission systems, with a primary focus on the reliability and nonlinear dynamics of rotating vector (RV) reducers—critical components in industrial robots and CNC machine tools. Their most-cited work introduces a pioneering reliability evaluation method that integrates multi-fidelity modeling with Bayesian updating technology, enabling more accurate predictions of RV reducer performance under complex operational loads. This contribution directly addresses the challenge of assessing long-term durability in high-precision gear systems, where nonlinear dynamics of gear pairs and cycloid transmission play a decisive role. With 8 citations to their landmark 2021 paper, Zhang’s research has already influenced subsequent studies on gear reliability and condition monitoring. Their work stands out for bridging theoretical nonlinear dynamics with practical engineering reliability, offering a framework that reduces reliance on costly physical testing while improving failure prediction. Zhang’s achievements are particularly notable for advancing the design and maintenance strategies of transmission components in automation and manufacturing, making their research essential reading for engineers and scholars working on high-performance mechanical systems.
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