Cargando…
Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation
For the purpose of maintaining and prolonging the service life of civil constructions, structural damage must be closely monitored. Monitoring the incidence, formation, and spread of damage is crucial to ensure a structure’s ongoing performance. This research proposes a unique approach for multiclas...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347147/ https://www.ncbi.nlm.nih.gov/pubmed/37448001 http://dx.doi.org/10.3390/s23136152 |