Improved Unsupervised Learning Method for Material-Properties Identification Based on Mode Separation of Ultrasonic Guided Waves

Improved Unsupervised Learning Method for Material-Properties Identification Based on Mode Separation of Ultrasonic Guided Waves

Numerical methods, including machine-learning methods, are now actively used in applications related to elastic guided wave propagation phenomena. The method proposed in this study for material-properties characterization is based on an algorithm of the clustering of multivariate data series obtaine...

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Bibliographic Details
Main Authors: Mikhail V. Golub, Olga V. Doroshenko, Mikhail A. Arsenov, Artem A. Eremin, Yan Gu, Ilya A. Bareiko
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Computation
Subjects:
laminate
material properties
identification
guided waves
mode separation
Online Access:https://www.mdpi.com/2079-3197/10/6/93

Internet

https://www.mdpi.com/2079-3197/10/6/93

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