Defect detection of gear parts in virtual manufacturing
Abstract Gears play an important role in virtual manufacturing systems for digital twins; however, the image of gear tooth defects is difficult to acquire owing to its non-convex shape. In this study, a deep learning network is proposed to detect gear defects based on their point cloud representatio...
| Hoofdauteurs: | , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
SpringerOpen
2023-03-01
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| Reeks: | Visual Computing for Industry, Biomedicine, and Art |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1186/s42492-023-00133-8 |