Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning

As the core component of permanent magnet motor, the magnetic tile defects seriously affect the quality of industrial motor. Automatic recognition of the surface defects of the magnetic tile is a difficult job since the patterns of the defects are complex and diverse. The existing defect recognition...

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Detalles Bibliográficos
Autores principales: Ling, Xufeng, Wu, Yapeng, Ali, Rahman, Zhu, Huaizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365534/
https://www.ncbi.nlm.nih.gov/pubmed/35965754
http://dx.doi.org/10.1155/2022/3003810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365534/
https://www.ncbi.nlm.nih.gov/pubmed/35965754
http://dx.doi.org/10.1155/2022/3003810

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