A Hybrid GAN-Inception Deep Learning Approach for Enhanced Coordinate-Based Acoustic Emission Source Localization

In this paper, we propose a novel approach to coordinate-based acoustic emission (AE) source localization to address the challenges of limited and imbalanced datasets from fiber-optic AE sensors used for structural health monitoring (SHM). We have developed a hybrid deep learning model combining fou...

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Autors principals:	Xuhui Huang, Ming Han, Yiming Deng
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-09-01
Col·lecció:	Applied Sciences
Matèries:	acoustic emission structural health monitoring generative adversarial network acoustic emission source localization data augmentation fiber optics sensor
Accés en línia:	https://www.mdpi.com/2076-3417/14/19/8811
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