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Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations

Author(s): ORCID (State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241313177
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: 10.1177/14759217241313177.
  • About this
    data sheet
  • Reference-ID
    10816771
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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