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Measuring data similarity in population-based structural health monitoring using distance metrics

Author(s): ORCID (Dynamics Research Group, Department of Mechanical Engineering, The University of Sheffield, Sheffield, South Yorkshire, UK)
ORCID (Vattenfall Research and Development, New Renewables, Edinburgh, Scotland)
(Dynamics Research Group, Department of Mechanical Engineering, The University of Sheffield, Sheffield, South Yorkshire, UK)
(Dynamics Research Group, Department of Mechanical Engineering, The University of Sheffield, Sheffield, South Yorkshire, UK)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 23
Page(s): 2609-2635
DOI: 10.1177/14759217231207526
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217231207526.
  • About this
    data sheet
  • Reference-ID
    10755764
  • Published on:
    14/01/2024
  • Last updated on:
    20/09/2024
 
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