Structured machine learning tools for modelling characteristics of guided waves

Haywood-Alexander, M., Dervilis, N. orcid.org/0000-0002-5712-7323, Worden, K. orcid.org/0000-0002-1035-238X et al. (3 more authors) (2021) Structured machine learning tools for modelling characteristics of guided waves. Mechanical Systems and Signal Processing, 156. 107628. ISSN 0888-3270

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier Ltd. 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: Guided waves; Feature space modelling; Machine learning; Structural health monitoring; Composite plate waves
Dates:
  • Accepted: 9 January 2021
  • Published (online): 11 February 2021
  • Published: July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
European Commission - FP6/FP7UNSPECIFIED
Engineering and Physical Science Research CouncilEP/R004900/1
Depositing User: Symplectic Sheffield
Date Deposited: 18 Jan 2021 14:25
Last Modified: 04 Mar 2021 12:51
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2021.107628
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Embargoed until: 11 February 2022

Filename: GP_UGW_MSSP.pdf

Licence: CC-BY-NC-ND 4.0

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