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Convolutional Autoencoder-Based Flaw Detection for Steel Wire Ropes
Visual perception-based methods are a promising means of capturing the surface damage state of wire ropes and hence provide a potential way to monitor the condition of wire ropes. Previous methods mainly concentrated on the handcrafted feature-based flaw representation, and a classifier was construc...
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| Foilsithe in: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
MDPI
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7699151/ https://ncbi.nlm.nih.gov/pubmed/33218186 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20226612 |
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