Defect Severity Identification for a Catenary System Based on Deep Semantic Learning

A variety of Chinese textual operational text data has been recorded during the operation and maintenance of the high-speed railway catenary system. Such defect text records can facilitate defect detection and defect severity analysis if mined efficiently and accurately. Therefore, in this context,...

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Detalles Bibliográficos
Autores principales: Wang, Jian, Gao, Shibin, Yu, Long, Zhang, Dongkai, Kou, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788149/
https://www.ncbi.nlm.nih.gov/pubmed/36560289
http://dx.doi.org/10.3390/s22249922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788149/
https://www.ncbi.nlm.nih.gov/pubmed/36560289
http://dx.doi.org/10.3390/s22249922

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