Defect detection of bearing side face based on sample data augmentation and convolutional neural network
Bearing surface quality has significant impact on the working performance and durability of the mechanical transmission equipment. The traditional visual detection methods for bearing surface defects face the problems of weak versatility, low efficiency and poor reliability. In this paper, a deep le...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Japan Society of Mechanical Engineers
2023-11-01
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| coleção: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Assuntos: | |
| Acesso em linha: | https://www.jstage.jst.go.jp/article/jamdsm/17/6/17_2023jamdsm0071/_pdf/-char/en |
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