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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Bibliographic Details

Published in:	ICT Express
Main Authors:	Joonho Seon, Seongwoo Lee, Young Ghyu Sun, Soo Hyun Kim, Dong In Kim, Jin Young Kim
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Subjects:	Imbalanced dataset Fault diagnosis Graph neural network Contrastive learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405959523000917