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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699151/ https://www.ncbi.nlm.nih.gov/pubmed/33218186 http://dx.doi.org/10.3390/s20226612 |