Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events
| Autor(en): |
Qi-Ang Wang
(State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
Chang-Bao Wang
(State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
Zhan-Guo Ma (State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China) Wei Chen (Xuzhou Key Laboratory for Fire Safety of Engineering Structures, China University of Mining and Technology, Xuzhou, China) Yi-Qing Ni
(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)
Chu-Fan Wang (School of Economics and Management, China University of Mining and Technology, Xuzhou, China) Bing-Gang Yan (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China) Pei-Xuan Guan (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, März 2022, n. 6, v. 21 |
| Seite(n): | 147592172210795 |
| DOI: | 10.1177/14759217221079529 |
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Datenseite - Reference-ID
10665303 - Veröffentlicht am:
09.05.2022 - Geändert am:
10.12.2022
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