Development of a machine learning based methodology for bridge health monitoring
Tesi en modalitat de compendi de publicacions
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| Formato: | tesis doctoral |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/366908 |
| Acesso em linha: | https://hdl.handle.net/2117/366908 https://dx.doi.org/10.5821/dissertation-2117-366908 |
| Access Level: | acceso abierto |
| Palavra-chave: | Structural health monitoring Bridges damage identification Vibration parameters Hilbert–Huang Transform Empirical mode decomposition Marginal Hilbert spectrum Traffic loads Symbolic data analysis Unsupervised machine learning Cluster analysis Àrees temàtiques de la UPC::Enginyeria civil |
| Resumo: | Tesi en modalitat de compendi de publicacions |
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