An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways' condition, planning and cost

Durazo-Cardenas, I., Starr, A., Turner, C.J. et al. (8 more authors) (2018) An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways' condition, planning and cost. Transportation Research Part C: Emerging Technologies, 89. pp. 234-253. ISSN 0968-090X

Abstract

Metadata

Authors/Creators:
  • Durazo-Cardenas, I.
  • Starr, A.
  • Turner, C.J.
  • Tiwari, A.
  • Kirkwood, L.
  • Bevilacqua, M..
  • Tsourdos, A.
  • Shehab, E.
  • Baguley, P.
  • Xu, Y.
  • Emmanouilidis, C.
Copyright, Publisher and Additional Information: © 2018 Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Data-driven asset management of rail infrastructure; Systems integration; Condition-based maintenance; Intelligent maintenance; Data fusion; Cost engineering; Planning and scheduling; Systems design and implementation
Dates:
  • Published: April 2018
  • Published (online): 22 February 2018
  • Accepted: 15 February 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 14 May 2018 11:20
Last Modified: 14 May 2018 11:28
Published Version: https://doi.org/10.1016/j.trc.2018.02.010
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.trc.2018.02.010
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