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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Detalhes bibliográficos

Principais autores:	Dianming WANG, Xue PAN, Jian MA, Yuzhang DAI, Chengjun SUN, Shibin LI, Xiaoju YIN
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Tamkang University Press 2025-05-01
Colecção:	Journal of Applied Science and Engineering
Assuntos:	wind turbine blade extreme learning machine transfer learning image recognition densenet
Acesso em linha:	http://jase.tku.edu.tw/articles/jase-202512-28-12-0012
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