Research on wind turbine blade fault detection based on DenseNet-TL combined with ELM

Research on wind turbine blade fault detection based on DenseNet-TL combined with ELM

Aiming at the safety hidden danger caused by blade faults that are difficult to be detected, the fault prevention detection technology based on blade image intelligent processing is investigated. A wind turbine blade fault prevention detection method is designed to analyses wind turbine blade images...

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Bibliographic Details
Main Authors: Dianming WANG, Xue PAN, Jian MA, Yuzhang DAI, Chengjun SUN, Shibin LI, Xiaoju YIN
Format: Article
Language:English
Published: Tamkang University Press 2025-05-01
Series:Journal of Applied Science and Engineering
Subjects:
wind turbine blade
extreme learning machine
transfer learning
image recognition
densenet
Online Access:http://jase.tku.edu.tw/articles/jase-202512-28-12-0012
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