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...
Main Authors: | Luca Rosafalco, Alberto Corigliano, Andrea Manzoni, Stefano Mariani |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/42/1/67 |
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