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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Dianming WANG, Xue PAN, Jian MA, Yuzhang DAI, Chengjun SUN, Shibin LI, Xiaoju YIN
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Tamkang University Press 2025-05-01
Sarja:	Journal of Applied Science and Engineering
Aiheet:	wind turbine blade extreme learning machine transfer learning image recognition densenet
Linkit:	http://jase.tku.edu.tw/articles/jase-202512-28-12-0012
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