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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Detalles Bibliográficos
Autores principales: Zhang, Guoyong, Tang, Zhaohui, Zhang, Jin, Gui, Weihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699151/
https://www.ncbi.nlm.nih.gov/pubmed/33218186
http://dx.doi.org/10.3390/s20226612

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