A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle

This paper proposes a new two-stage machine learning approach for bridge damage detection using the responses measured on a passing vehicle. In the first stage, an artificial neural network (ANN) is trained using the vehicle responses measured from multiple passes (training data set) over a healthy...

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Detalles Bibliográficos
Autores principales: Malekjafarian, Abdollah, Golpayegani, Fatemeh, Moloney, Callum, Clarke, Siobhán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767673/
https://www.ncbi.nlm.nih.gov/pubmed/31546759
http://dx.doi.org/10.3390/s19184035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767673/
https://www.ncbi.nlm.nih.gov/pubmed/31546759
http://dx.doi.org/10.3390/s19184035

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