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A novel unsupervised real‐time damage detection method for structural health monitoring using machine learning

Author(s): ORCID (Department of Civil Engineering Nanjing Tech University Nanjing China)
(Department of Civil Engineering Nanjing Tech University Nanjing China)
(Department of Civil and Mineral Engineering University of Toronto Toronto ON Canada)
(CEO, QuakeLogic Inc. Roseville CA USA)
(Department of Civil Engineering Nanjing Tech University Nanjing China)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 10, v. 29
DOI: 10.1002/stc.3042
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: 10.1002/stc.3042.
  • About this
    data sheet
  • Reference-ID
    10685911
  • Published on:
    13/08/2022
  • Last updated on:
    23/09/2022
 
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