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Toward a general unsupervised novelty detection framework in structural health monitoring

Author(s): (Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA)
(Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA)
(Department of Civil Engineering K. N. Toosi University of Technology Tehran Iran)
(Department of Computer Science Virginia Tech Blacksburg Virginia USA)
(Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 9, v. 37
Page(s): 1128-1145
DOI: 10.1111/mice.12812
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: 10.1111/mice.12812.
  • About this
    data sheet
  • Reference-ID
    10656716
  • Published on:
    17/02/2022
  • Last updated on:
    13/08/2022
 
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