Fault diagnosis method of wind turbine planetary gearbox based on improved CNN

Abstract When wind turbines operate in complex environments, planetary gearboxes easily generate faults that will lead to increased wreck of the equipment or transmission failures. In this paper, a CNN model with adaptive parameters is proposed to realize the identification of planetary gearbox faul...

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Detalles Bibliográficos

Principais autores:	Chenhua Xu, Dan Liu, Jian Cen, Jianbin Xiong, Na Wang, Xi Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-09-01
Series:	Scientific Reports
Assuntos:	Planetary gearboxes Convolutional neural network Gramian angular difference fields SPKO Fault diagnosis
Acceso en liña:	https://doi.org/10.1038/s41598-025-14243-1
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