Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation

Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation

In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is one of the key drivers for reducing costs and risks over the whole wind energy...

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Bibliographic Details
Main Authors: Sarah Barber, Unai Izagirre, Oscar Serradilla, Jon Olaizola, Ekhi Zugasti, Jose Ignacio Aizpurua, Ali Eftekhari Milani, Frank Sehnke, Yoshiaki Sakagami, Charles Henderson
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
wind energy
data sharing
best practice
machine learning
model evaluation
Online Access:https://www.mdpi.com/1996-1073/16/8/3567

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https://www.mdpi.com/1996-1073/16/8/3567

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