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

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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Bibliographic Details
Main Authors:	Luca Rosafalco, Alberto Corigliano, Andrea Manzoni, Stefano Mariani
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Proceedings
Subjects:	structural health monitoring fully convolutional networks damage localization time series analysis deep learning
Online Access:	https://www.mdpi.com/2504-3900/42/1/67

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