Detection and Severity Evaluation of Combined Rail Defects Using Deep Learning

Detection and Severity Evaluation of Combined Rail Defects Using Deep Learning

Various techniques have been developed to detect railway defects. One of the popular techniques is machine learning. This unprecedented study applies deep learning, which is a branch of machine learning techniques, to detect and evaluate the severity of rail combined defects. The combined defects in...

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Bibliografische gegevens
Hoofdauteurs:	Jessada Sresakoolchai, Sakdirat Kaewunruen
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	MDPI AG 2021-04-01
Reeks:	Vibration
Onderwerpen:	deep learning railway infrastructure railway combined defects dipped joint settlement
Online toegang:	https://www.mdpi.com/2571-631X/4/2/22

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