GA-BP Neural Network-Based Strain Prediction in Full-Scale Static Testing of Wind Turbine Blades

GA-BP Neural Network-Based Strain Prediction in Full-Scale Static Testing of Wind Turbine Blades

This paper proposes a strain prediction method for wind turbine blades using genetic algorithm back propagation neural networks (GA-BPNNs) with applied loads, loading positions, and displacement as inputs, and the study can be used to provide more data for the wind turbine blades’ health a...

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Bibliographic Details
Main Authors: Zheng Liu, Xin Liu, Kan Wang, Zhongwei Liang, José A.F.O. Correia, Abílio M.P. De Jesus
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
wind turbine blade
full-scale static test
neural networks
strain prediction
Online Access:http://www.mdpi.com/1996-1073/12/6/1026

Internet

http://www.mdpi.com/1996-1073/12/6/1026

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