On the application of heterogeneous transfer learning to population-based structural health monitoring

Gardner, P.A. orcid.org/0000-0002-1882-9728, Bull, L.A., Dervilis, N. orcid.org/0000-0002-5712-7323 et al. (1 more author) (2022) On the application of heterogeneous transfer learning to population-based structural health monitoring. In: Madarshahian, R. and Hemez, F., (eds.) Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021. 39th IMAC - A Conference and Exposition on Structural Dynamics 2021, 08-11 Feb 2021, Virtual conference. Conference Proceedings of the Society for Experimental Mechanics (CPSEMS) . Springer International Publishing , pp. 87-98. ISBN 9783030760038

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Copyright, Publisher and Additional Information: © 2022 The Society for Experimental Mechanics, Inc. This is an author-produced version of a paper subsequently published in Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Heterogeneous transfer learning; kernelised Bayesian transfer learning; heterogeneous feature augmentation; population-based structural health monitoring
Dates:
  • Published (online): 17 May 2021
  • Published: 2022
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 Sciences Research CouncilEP/R004900/1; EP/R006768/1; EP/R003645/1
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jul 2022 09:44
Last Modified: 17 Jul 2022 23:46
Status: Published
Publisher: Springer International Publishing
Series Name: Conference Proceedings of the Society for Experimental Mechanics (CPSEMS)
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-030-76004-5_11

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