Tool State Recognition Based on POGNN-GRU under Unbalanced Data

Accurate recognition of tool state is important for maximizing tool life. However, the tool sensor data collected in real-life scenarios has unbalanced characteristics. Additionally, although graph neural networks (GNNs) show excellent performance in feature extraction in the spatial dimension of da...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Weiming Tong, Jiaqi Shen, Zhongwei Li, Xu Chu, Wenqi Jiang, Liguo Tan
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	state recognition unbalanced data graph neural networks pruned optimized graph
Online Access:	https://www.mdpi.com/1424-8220/24/16/5433