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Prediction of Track Deterioration Using Maintenance Data and Machine Learning Schemes

Author(s): ORCID (Research Fellow, Dept. of High-Speed Railroad, Korea Railroad Research Institute, Euiwang Si, Kyunggi Province 16105, Republic of Korea (corresponding author))
(Senior Researcher, Dept. of High-Speed Railroad, Korea Railroad Research Institute, Euiwang Si, Kyunggi Province 16105, Republic of Korea.)
(Principal Researcher, Dept. of High-Speed Railroad, Korea Railroad Research Institute, Euiwang Si, Kyunggi Province 16105, Republic of Korea.)
(Research Assistant, Dept. of High-Speed Railroad, Korea Railroad Research Institute, Euiwang Si, Kyunggi Province 16105, Republic of Korea.)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 9, v. 144
Page(s): 04018045
DOI: 10.1061/jtepbs.0000173
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/jtepbs.0000173.
  • About this
    data sheet
  • Reference-ID
    10580274
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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