Damage detection in structural health monitoring using combination of deep neural networks

Damage detection in structural health monitoring using combination of deep neural networks

Structural Health Monitoring is a process of continuous evaluation of infrastructure status. In order to be able to detect the damage status, data collected from sensors have to be processed to identify the difference between the damaged and the undamaged states. In recent years, convolution neural...

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Bibliographic Details
Main Authors: Hieu NGUYEN-TRAN, Thanh BUI-TIEN, Magd ABDEL WAHAB, Dung BUI-NGOC
Format: Article
Language:English
Published: Mouloud Mammeri University of Tizi-Ouzou 2020-12-01
Series:Journal of Materials and Engineering Structures
Subjects:
structural health monitoring
damage detection
convolution neural network
feature extraction
long short term memory network
Online Access:http://revue.ummto.dz/index.php/JMES/article/view/2473

Internet

http://revue.ummto.dz/index.php/JMES/article/view/2473

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