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Deep learning-based fatigue damage segmentation of wind turbine blades under complex dynamic thermal backgrounds

Author(s): (Department of Wind and Energy Systems, Technical University of Denmark, Roskilde, Denmark)
ORCID (Department of Wind and Energy Systems, Technical University of Denmark, Roskilde, Denmark)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 23
Page(s): 147592172311743
DOI: 10.1177/14759217231174377
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: 10.1177/14759217231174377.
  • About this
    data sheet
  • Reference-ID
    10730092
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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