Fault diagnosis for wind turbines with graph neural network model based on one-shot learning

Fault diagnosis for wind turbines with graph neural network model based on one-shot learning

Because of the harsh working environment, there is usually a lack of effective data from the gearboxes of wind turbines for fault classification. In this paper, a fault-diagnosis model based on graph neural networks and one-shot learning is proposed to solve the problem of fault classification with...

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Bibliographic Details
Main Authors: Shuai Yang, Yifei Zhou, Xu Chen, Chuan Li, Heng Song
Format: Article
Language:English
Published: The Royal Society 2023-07-01
Series:Royal Society Open Science
Subjects:
wind turbine
fault diagnosis
deep learning
graph neural network
convolutional neural network
one-shot learning
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.230706

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https://royalsocietypublishing.org/doi/10.1098/rsos.230706

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