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Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events

Author(s): ORCID (State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
ORCID (State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
(State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
(Xuzhou Key Laboratory for Fire Safety of Engineering Structures, China University of Mining and Technology, Xuzhou, China)
ORCID (National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) and Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China)
(School of Economics and Management, China University of Mining and Technology, Xuzhou, China)
(School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
(School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 21
Page(s): 147592172210795
DOI: 10.1177/14759217221079529
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: 10.1177/14759217221079529.
  • About this
    data sheet
  • Reference-ID
    10665303
  • Published on:
    09/05/2022
  • Last updated on:
    10/12/2022
 
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