Geospatial and temporal data mining to combine railway low adhesion and rail defect data

Arnall, A., Fletcher, D. orcid.org/0000-0002-1562-4655 and Lewis, R. (2020) Geospatial and temporal data mining to combine railway low adhesion and rail defect data. Proceedings of the Institution of Civil Engineers: Transport, 173 (4). pp. 273-286. ISSN 0965-092X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 ICE Publishing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 8 June 2018
  • Published (online): 22 June 2018
  • Published: 14 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
NETWORK RAIL LIMITED737364
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jun 2018 15:05
Last Modified: 31 Jul 2020 12:08
Published Version: https://doi.org/10.1680/jtran.17.00120
Status: Published
Publisher: Thomas Telford
Refereed: Yes
Identification Number: https://doi.org/10.1680/jtran.17.00120

Download

Share / Export

Statistics