Defect classification based on deep features for railway tracks in sustainable transportation-Reference-Cited by-同舟云学术

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Defect classification based on deep features for railway tracks in sustainable transportation

Published:2021-11 Issue: Volume:111 Page:107706
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Aydin Ilhan^ORCID,Akin Erhan,Karakose Mehmet

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. Automatic visual detection system of railway surface defects with curvature filter and improved Gaussian mixture model;Zhang;IEEE Trans. Instrum. Meas.,2018

2. Advanced monitoring of rail breakage in double-track railway lines by means of PCA techniques;Espinosa;Appl. Soft Comput.,2018

3. A visual detection system for rail surface defects;Li;IEEE Trans. Syst. Man Cybern. C,2010

4. Characterization of defects on rail surface using eddy current technique;Kishore;J. Mech. Sci. Technol.,2019

5. Defect detection and location in switch rails by acoustic emission and lamb wave analysis: A feasibility study;Zhang;Appl. Acoust.,2016

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