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Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units

To improve the power generation efficiency of offshore wind turbines and address the problem of high fire monitoring and warning costs, we propose a data-driven fire warning method based on transfer learning for wind turbines in this paper. This paper processes wind turbine operation data in a SCADA...

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Principais autores: Anping Wan, Chenyu Du, Wenbin Gong, Chao Wei, Khalil AL-Bukhaiti, Yunsong Ji, Shidong Ma, Fareng Yao, Lizheng Ao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-05-01
Serier:Energies
Fag:
transfer learning
XGBoost algorithm
offshore wind turbines
data-driven
fire warning
Online adgang:https://www.mdpi.com/1996-1073/17/10/2330
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