Deep learning based crack damage detection technique for thin plate structures using guided lamb wave signals
In this paper, convolutional neural network (CNN) is employed for crack damage detection in thin aluminum plates. Identifying a successful damage feature is a critical step in computationally efficient damage detection and characterization process; however, such feature identification process is gen...
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Published in | Smart materials and structures Vol. 29; no. 1; pp. 15032 - 15045 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.01.2020
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Subjects | |
Online Access | Get full text |
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