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Investigation on the data augmentation using machine learning algorithms in structural health monitoring information

Author(s): ORCID (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, China)
(State Key Laboratory of Software Development Environment, Beihang University, Beijing, China)
(State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, China)
ORCID (State Key Laboratory of Software Development Environment, Beihang University, Beijing, China)
(State Key Laboratory of Software Development Environment, Beihang University, Beijing, China)
(State Key Laboratory of Software Development Environment, Beihang University, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 20
Page(s): 147592172199623
DOI: 10.1177/1475921721996238
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: 10.1177/1475921721996238.
  • About this
    data sheet
  • Reference-ID
    10603548
  • Published on:
    17/04/2021
  • Last updated on:
    29/06/2021
 
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