Probabilistic active learning : an online framework for structural health monitoring

Bull, L.A., Rogers, T.J. orcid.org/0000-0002-3433-3247, Wickramarachchi, C. et al. (3 more authors) (2019) Probabilistic active learning : an online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Damage detection; Pattern recognition; Semi-supervised learning; Structural health monitoring
Dates:
  • Accepted: 7 August 2019
  • Published (online): 31 August 2019
  • Published: 1 December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research Council (EPSRC)EP/R004900/1; EP/R003645/1; EP/S001565/1
Depositing User: Symplectic Sheffield
Date Deposited: 02 Sep 2019 11:39
Last Modified: 02 Sep 2019 11:39
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2019.106294

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