Automated Damage Detection of (C/C)/Si/SiC Composite Using Vibration Modes with Deep Neural Networks

Automated Damage Detection of (C/C)/Si/SiC Composite Using Vibration Modes with Deep Neural Networks

Discontinuous carbon fiber-carbon matrix composites dispersed Si/SiC matrix composites have complicated microstructures that consist of four phases (C/C, Si, SiC, and C/SiC). The crack stability significantly depends on their geometrical arrangement. Nondestructive evaluation is needed to maintain t...

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Auteurs principaux: Chihiro Shibata, Naohiro Shichijo, Johei Matsuoka, Yuriko Takeshima, Jenn-Ming Yang, Yoshihisa Tanaka, Yutaka Kagawa
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
nondestructive evaluation
vibration and resonance
anomaly detection
deep learning
convolutional neural networks
auto-encoders
Technology
T
Science
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Accès en ligne:https://doaj.org/article/6d0d1ed25eaa4f6abfbfe82bcd36d49f
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