Surface Defect Detection of Bearing Rings Based on an Improved YOLOv5 Network

Considering the characteristics of complex texture backgrounds, uneven brightness, varying defect sizes, and multiple defect types of the bearing surface images, a surface defect detection method for bearing rings is proposed based on improved YOLOv5. First, replacing the C3 module in the backbone n...

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Detalles Bibliográficos
Autores principales: Xu, Haitao, Pan, Haipeng, Li, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490562/
https://www.ncbi.nlm.nih.gov/pubmed/37687898
http://dx.doi.org/10.3390/s23177443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490562/
https://www.ncbi.nlm.nih.gov/pubmed/37687898
http://dx.doi.org/10.3390/s23177443

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