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Deep learning enhanced principal component analysis for structural health monitoring

Author(s): ORCID (TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Spain)
(CONSTRUCT-ViBest, Faculty of Engineering, University of Porto (FEUP), Porto, Portugal)
ORCID (TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Spain)
(University of the Basque Country (UPV/EHU), Leioa, Spain)
ORCID (TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Spain)
ORCID (Basque Center for Applied Mathematics (BCAM), Bilbao, Spain)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 21
Page(s): 147592172110416
DOI: 10.1177/14759217211041684
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: 10.1177/14759217211041684.
  • About this
    data sheet
  • Reference-ID
    10658620
  • Published on:
    17/02/2022
  • Last updated on:
    20/06/2022
 
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