Automatic Crack Classification by Exploiting Statistical Event Descriptors for Deep Learning

Automatic Crack Classification by Exploiting Statistical Event Descriptors for Deep Learning

In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven structural health monitoring (SHM) systems is gaining in popularity. This is due to the large availability of big data from low-cost sensors with communication capabilities and advanced modeling tools such...

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Bibliographic Details
Main Authors: Giulio Siracusano, Francesca Garescì, Giovanni Finocchio, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Mario Carpentieri, Massimo Chiappini, Aurelio La Corte
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
acoustic emission
damage classification
structural health monitoring
deep learning
bidirectional long short term memory
Online Access:https://www.mdpi.com/2076-3417/11/24/12059

Internet

https://www.mdpi.com/2076-3417/11/24/12059

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