Predicting the Displacement Variation of Rehabilitated Foundation of Onshore Wind Turbines Using Machine Learning Models

Predicting the Displacement Variation of Rehabilitated Foundation of Onshore Wind Turbines Using Machine Learning Models

The rehabilitation of wind turbine foundations after damage is increasingly common. However, limited research exists on the deformation of wind turbine foundations after rehabilitation. Artificial intelligence methods can be used to analyze future deformation state and predict post-rehabilitation de...

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Autors principals: Xiao Zheng, Zhonghua Liu, Xiangrong Gao, Zhixin Song, Chaowei Chen, Huanwei Wei
Format: Article
Idioma:English
Publicat: MDPI AG 2024-03-01
Col·lecció:Buildings
Matèries:
onshore wind turbines
foundation rehabilitation
data analysis
deformation prediction
machine learning
Accés en línia:https://www.mdpi.com/2075-5309/14/3/759

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https://www.mdpi.com/2075-5309/14/3/759

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