Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext

This article introduces a novel framework for diagnosing faults in rolling bearings. The framework combines digital twin data, transfer learning theory, and an enhanced ConvNext deep learning network model. Its purpose is to address the challenges posed by the limited actual fault data density and i...

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Detalles Bibliográficos
Autores principales: Zhang, Chao, Qin, Feifan, Zhao, Wentao, Li, Jianjun, Liu, Tongtong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256063/
https://www.ncbi.nlm.nih.gov/pubmed/37300061
http://dx.doi.org/10.3390/s23115334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256063/
https://www.ncbi.nlm.nih.gov/pubmed/37300061
http://dx.doi.org/10.3390/s23115334

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