Xuezong Bai
Papers
1
Total Citations
3
H-Index
1
About
Xuezong Bai’s research centers on the kinematic and dynamic analysis of parallel robotic systems, with a specific focus on advancing wind turbine blade fatigue testing. His most-cited work, “Kinematic and dynamic analysis of a 2DOF parallel robot arm for wind turbine blade fatigue testing” (2025, 3 citations), addresses critical inefficiencies in current biaxial resonance fatigue testing methods. Bai proposes an innovative dynamic characterization method using a 2-DOF planar parallel testing device, which mitigates issues like low testing efficiency and adverse effects on blade intrinsic frequencies. This contribution is pivotal for improving the reliability and longevity of wind turbine blades, directly supporting the renewable energy sector’s need for more durable infrastructure. Though early in his citation impact, Bai’s work demonstrates a strong potential to influence both robotics and sustainable energy technologies. His research bridges mechanical design and practical application, offering a novel solution to a pressing industrial challenge.
Research Focus
Key Achievements
Top Papers
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