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GraphSAGE with contrastive encoder for efficient fault diagnosis in industrial IoT systems

Imbalanced datasets are common in industrial internet of things (IIoT) systems due to challenges in acquiring faulty labels. Augmentation and graph-based methods have been proposed to improve classification accuracy of deep learning-based systems. However, the conventional approaches can be limited...

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Autori principali: Joonho Seon, Seongwoo Lee, Young Ghyu Sun, Soo Hyun Kim, Dong In Kim, Jin Young Kim
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2023-12-01
Serie:ICT Express
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Accesso online:http://www.sciencedirect.com/science/article/pii/S2405959523000917
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