Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification

Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification

The big data collected from structural health monitoring systems (SHMs), combined with the rapid advances in machine learning (ML), have enabled data-driven methods in practical SHM applications. These methods typically use ML algorithms to identify patterns within features extracted from data repre...

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Bibliographic Details
Main Authors: Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Infrastructures
Subjects:
structural health monitoring
damage identification
deep learning
data augmentation
deep belief network
Online Access:https://www.mdpi.com/2412-3811/10/6/145
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