Framework for Identification and Prediction of Corrosion Degradation in a Steel Column through Machine Learning and Bayesian Updating

In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously increasing computational capacity of current comp...

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Bibliografische gegevens

Hoofdauteurs:	Simone Castelli, Andrea Belleri
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2023-04-01
Reeks:	Applied Sciences
Onderwerpen:	structural health monitoring machine learning support vector machine Bayesian optimization remaining useful life synthetic data
Online toegang:	https://www.mdpi.com/2076-3417/13/7/4646
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