Events9th International Electronic Conference on Sensors and Applications
Event submissions
Published
with-doi10.3390/ecsa-9-13344
This submission belongs to the session E. Sensor Data Analytics of the event 9th International Electronic Conference on Sensors and Applications
Published date
01 Nov, 2022
Academic Editor
author-avatarFrancisco Falcone
Citation
Matteo Torzoni, Stefano Mariani, Andrea Manzoni, A multi-fidelity deep neural network approach to structural health monitoring, in Proceedings of 9th International Electronic Conference on Sensors and Applications, 1 November–15 November 2022, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-9-13344
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A multi-fidelity deep neural network approach to structural health monitoring

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Matteo Torzoni 1
Andrea Manzoni 2
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Stefano Mariani 1
1. Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano
2. MOX, Dipartimento di Matematica, Politecnico di Milano
Abstract
Keywords
structural health monitoring
Markov chain Monte Carlo
deep learning
multi-fidelity methods
damage identification
Bayesian model updating