Quantitative Modeling of Effects of Extreme Low Temperature on Wind Turbine Blade Performance Based on Nonlinear Random-Coefficient Regression Model

In order to quantitatively analyze the influence of extreme low temperature on wind turbine blade performance, considering the uncertainty of its operation process, this paper proposed a quantitative modeling and analysis method based on nonlinear random-coefficient regression model for the influenc...

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Bibliographic Details
Main Authors: Weixin Yang, Hongshan Zhao, Yangfan Zhang, Yu Wang, Jieying Chang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10223044/