Active learning for semi-supervised structural health monitoring

Bull, L.A., Worden, K., Manson, G. et al. (1 more author) (2018) Active learning for semi-supervised structural health monitoring. Journal of Sound and Vibration. ISSN 0022-460X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Journal of Sound and Vibration. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Structural health monitoring; Vibration monitoring; Active learning; Semi-supervised learning; Classification; Pattern recognition
Dates:
  • Accepted: 18 August 2018
  • Published (online): 5 September 2018
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/J016942/1
Depositing User: Symplectic Sheffield
Date Deposited: 11 Sep 2018 11:03
Last Modified: 11 Sep 2018 11:03
Published Version: https://doi.org/10.1016/j.jsv.2018.08.040
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jsv.2018.08.040

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