Collaborative Extraction of Inter-Variable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces

Soft sensor of silicon content in hot metal is challenging due to the nonlinearity, dynamics, and non-Euclidean coupling relationship between process variables. The inter-variable coupling relationship widely exists in the ironmaking process. Nevertheless, they are generally overlooked in modeling....

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023-05, p.1-1
Hauptverfasser:	Kong, Liyuan, Yang, Chunjie, Lou, Siwei, Cai, Yu, Huang, Xiaoke, Sun, Mingyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Blast furnaces Convolutional neural networks Couplings Dynamics Feature extraction graph convolutional networks inter-variable coupling relationship ironmaking Silicon Soft sensors supervised graphs Temperature measurement
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