Gear fault diagnosis research based on GAF-TFR-2DCV with small sample size

To solve the problem of insufficient precision of gear fault diagnosis with small sample size, an adaptive floating convolutional sequence pattern neural network recognition method based on the combination of simplified Gramian Angle field and time–frequency feature images is proposed. One-dimension...

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Detalhes bibliográficos

Principais autores:	Zhe Wang, Jiaxing Shen, Xingyuan Zhang, Yinghua Yu, Yan Wang, Hu Zhu, Lianglu Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-04-01
coleção:	Ain Shams Engineering Journal
Assuntos:	Gear fault diagnosis Gramian angle field Time-frequency diagram Convolutional Neural Networks Vision algorithms
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2090447925000851
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