Zongwen An
Papers
1
Total Citations
3
H-Index
1
About
Zongwen An is a researcher specializing in robotics, mechanical dynamics, and renewable energy testing technologies. His work focuses on developing innovative parallel robotic systems for structural health monitoring and fatigue testing, particularly for wind turbine blades—a critical area for advancing sustainable energy infrastructure. An’s most cited paper, “Kinematic and dynamic analysis of a 2DOF parallel robot arm for wind turbine blade fatigue testing” (2025, 3 citations), addresses a key challenge in the wind energy sector: the inefficiency and negative impact on blade natural frequency caused by conventional biaxial resonance fatigue testing methods. In this work, he proposes a novel dynamic characterization approach using a two-degree-of-freedom planar parallel testing device, offering a more precise and less intrusive alternative for assessing blade durability. This contribution has the potential to improve testing accuracy and extend turbine lifespan, directly supporting the reliability of wind power systems. Though early in his citation trajectory, An’s research bridges mechanical design and applied dynamics, showcasing a promising path toward more efficient, data-driven testing methodologies for large-scale renewable energy components.
Research Focus
Key Achievements
Top Papers
- 1