Gas Graph Convolutional Transformer for Robust Generalization in Adaptive Gas Mixture Concentration Estimation
Ding Wang,
Ziyuan Xia,
Lei Wang
et al.
Abstract:Gas concentration estimation has a tremendous research significance in various fields. However, existing methods for estimating the concentration of mixed gases generally depend on specific data-preprocessing methods and suffer from poor generalizability to diverse types of gases. This paper proposes a graph neural network-based gas graph convolutional transformer model (GGCT) incorporating the information propagation properties and the physical characteristics of temporal sensor data. GGCT accurately predicts… Show more
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