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Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model

Author(s): (Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China)
(Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China)
(Center of Safety Monitoring of Engineering Structures, Shenzhen Academy of Disaster Prevention and Reduction, China Earthquake Administration, Shenzhen, Guangdong, China)
(Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China)
ORCID (Department of Mechanical Engineering, University of Tabriz, Tabriz, Iran)
(Department of Mechanical Engineering, University of Tabriz, Tabriz, Iran)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217251313496
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: 10.1177/14759217251313496.
  • About this
    data sheet
  • Reference-ID
    10816789
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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