On multi-site damage identification using single-site training data

Barthorpe, R.J. orcid.org/0000-0002-6645-8482 and Worden, K. orcid.org/0000-0002-1035-238X (2017) On multi-site damage identification using single-site training data. Journal of Sound and Vibration, 409. pp. 43-64. ISSN 0022-460X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 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: Structural health monitoring; Support vector classification; Multi-site damage identification; Statistical pattern recognition
Dates:
  • Accepted: 21 July 2017
  • Published (online): 29 July 2017
  • Published: 24 November 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jun 2018 14:11
Last Modified: 15 Jun 2018 14:11
Published Version: https://doi.org/10.1016/j.jsv.2017.07.038
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jsv.2017.07.038

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