Graph Neural Networks for Chemical Process Fault Diagnosis Based on Hybrid Variable Feature Learning
Abstract: Graph-based data representation allows us to take into account not only the behavior of each sensor signal but also the correlations and hidden relationships between them. Therefore, using ...
Abstract: The precise prediction of tumbler strength is of great significance to provide high-quality sinter products for the downstream blast furnace ironmaking process. However, most of the existing ...
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