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

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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Bibliographic Details
Main Authors: Jian Wang, Shibin Gao, Long Yu, Dongkai Zhang, Lei Kou
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
catenary system
deep learning
text mining
pre-trained language model
defect severity classification
Online Access:https://www.mdpi.com/1424-8220/22/24/9922

Internet

https://www.mdpi.com/1424-8220/22/24/9922

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