A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning

Recent advances in sensor technologies coupled with the development of machine/deep learning strategies are opening new frontiers in Structural Health Monitoring (SHM). Dealing with structural vibrations recorded with pervasive sensor networks, SHM aims at extracting meaningful damage-sensitive feat...

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Главные авторы:	Luca Rosafalco, Alberto Corigliano, Andrea Manzoni, Stefano Mariani
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2020-04-01
Серии:	Proceedings
Предметы:	structural health monitoring fully convolutional networks damage localization time series analysis deep learning
Online-ссылка:	https://www.mdpi.com/2504-3900/42/1/67
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