A Defect Detection Method for Rail Surface and Fasteners Based on Deep Convolutional Neural Network

As a result of long-term pressure from train operations and direct exposure to the natural environment, rails, fasteners, and other components of railway track lines inevitably produce defects, which have a direct impact on the safety of train operations. In this study, a multiobject detection metho...

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Detalles Bibliográficos
Autores principales: Zheng, Danyang, Li, Liming, Zheng, Shubin, Chai, Xiaodong, Zhao, Shuguang, Tong, Qianqian, Wang, Ji, Guo, Lizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352690/
https://www.ncbi.nlm.nih.gov/pubmed/34381497
http://dx.doi.org/10.1155/2021/2565500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352690/
https://www.ncbi.nlm.nih.gov/pubmed/34381497
http://dx.doi.org/10.1155/2021/2565500

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