Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net

Su, L, Ma, L, Qin, N et al. (2 more authors) (2019) Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net. IEEE Transactions on Industrial Informatics, 15 (7). pp. 3856-3863. ISSN 1551-3203

Abstract

Metadata

Authors/Creators:
  • Su, L
  • Ma, L
  • Qin, N
  • Huang, D
  • Kemp, AH
Keywords: Convolutional neural network (CNN); fault diagnosis; high-speed train (HST) bogie; residual; squeeze
Dates:
  • Published: July 2019
  • Accepted: 10 March 2019
  • Published (online): 25 March 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Jul 2019 14:06
Last Modified: 24 Jul 2019 14:06
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TII.2019.2907373

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