Deep Learning-based Methods for Structural Health Monitoring Data Improvement and Augmentation

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Deep Learning-based Methods for Structural Health Monitoring Data Improvement and Augmentation

This thesis addresses data quality challenges in Structural Health Monitoring (SHM) using deep learning techniques. A Transformer-based generative adversarial network is developed to reconstruct missing signal. An unsupervised domain adaptation-based methodology is proposed to impute missing data. A...

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Bibliographic Details
Main Author:	Zheng, Wenhao
Format:	Thesis
Published:	Curtin University 2024
Online Access:	http://hdl.handle.net/20.500.11937/97309

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