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Turnout Fault Diagnosis Based on CNNs with Self-Generated Samples

Author(s): ORCID (Associate Professor, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China (corresponding author))
(Master Degree Candidate, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China.)
(Master’s Graduates, China Railway Eryuan Engineering Group Co., Ltd., Tongjin Rd., Chengdu 610031, PR China.)
(Master Degree Candidate, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China.)
(Professorate Senior Engineer, Sichuan Railway Industry Investment Group Co., Ltd., Tianfu 1st St., High-tech Zone, Chengdu 610015, PR China.)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 9, v. 146
Page(s): 04020105
DOI: 10.1061/jtepbs.0000432
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.0000432.
  • About this
    data sheet
  • Reference-ID
    10580523
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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