Towards semi-supervised and probabilistic classification in structural health monitoring

Bull, L., Worden, K. and Dervilis, N. orcid.org/0000-0002-5712-7323 (2020) Towards semi-supervised and probabilistic classification in structural health monitoring. Mechanical Systems and Signal Processing, 140. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Elsevier. This is an author produced version of a paper subsequently published in Mechanical Systems and Signal Processing. 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: Semi-supervised learning; Damage classification; Statistical modelling; Signal processing; Pattern recognition; Structural health monitoring
Dates:
  • Accepted: 13 January 2020
  • Published (online): 12 February 2020
  • Published: June 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
Engineering and Physical Science Research CouncilEP/R004900/1; EP/R003645/1
Depositing User: Symplectic Sheffield
Date Deposited: 14 Feb 2020 12:50
Last Modified: 17 Feb 2020 14:21
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2020.106653

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