Convolutional neural network framework for wind turbine electromechanical fault detection

Convolutional neural network framework for wind turbine electromechanical fault detection

Abstract Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high‐dimensional...

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Bibliographic Details
Main Authors: Emilie Stone, Stefano Giani, Donatella Zappalá, Christopher Crabtree
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Wind Energy
Subjects:
condition monitoring
convolutional neural network
deep learning
fault detection
gearbox
generator
Online Access:https://doi.org/10.1002/we.2857

Internet

https://doi.org/10.1002/we.2857

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