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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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Автори: Dianming WANG, Xue PAN, Jian MA, Yuzhang DAI, Chengjun SUN, Shibin LI, Xiaoju YIN
Формат: Artigo
Мова:Inglês
Опубліковано: Tamkang University Press 2025-05-01
Серія:Journal of Applied Science and Engineering
Предмети:
wind turbine blade
extreme learning machine
transfer learning
image recognition
densenet
Онлайн доступ:http://jase.tku.edu.tw/articles/jase-202512-28-12-0012
Теги: Додати тег
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