Characterization of Biocomposites and Glass Fiber Epoxy Composites Based on Acoustic Emission Signals, Deep Feature Extraction, and Machine Learning

Characterization of Biocomposites and Glass Fiber Epoxy Composites Based on Acoustic Emission Signals, Deep Feature Extraction, and Machine Learning

This study presents the results of acoustic emission (AE) measurements and characterization in the loading of biocomposites at room and low temperatures that can be observed in the aviation industry. The fiber optic sensors (FOS) that can outperform electrical sensors in challenging operational envi...

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Bibliographic Details
Main Authors: Tomaž Kek, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar, Roman Šturm
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
polymer composites
biocomposites
GFE composites
acoustic emission
deep feature extraction
convolutional autoencoder
Online Access:https://www.mdpi.com/1424-8220/22/18/6886

Internet

https://www.mdpi.com/1424-8220/22/18/6886

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