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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Bibliographic Details
Main Authors: Chihiro Shibata, Naohiro Shichijo, Johei Matsuoka, Yuriko Takeshima, Jenn-Ming Yang, Yoshihisa Tanaka, Yutaka Kagawa
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Composites Science
Subjects:
nondestructive evaluation
vibration and resonance
anomaly detection
deep learning
convolutional neural networks
auto-encoders
Online Access:https://www.mdpi.com/2504-477X/5/11/301

Internet

https://www.mdpi.com/2504-477X/5/11/301

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