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Akademický článek

Dynamic flame feature-driven prediction model for basic oxygen furnace steelmaking endpoint carbon content based on three-dimensional multi-layer complex networks

Autor: Liu, JianXun, Liu, Hui, Chen, FuGang, Su, YunKe, Li, Heng, Xue, XiaoJun

Publikováno v: In Engineering Applications of Artificial Intelligence January 2025 139 Part B

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Akademický článek

BOF steelmaking endpoint carbon content and temperature soft sensor model based on supervised weighted local structure preserving projection

Autor: Su YunKe, Liu Hui, Chen FuGang, Liu JianXun, Li Heng, Xue XiaoJun

Publikováno v: High Temperature Materials and Processes, Vol 43, Iss 1, Pp pp. 51-58 (2024)

Endpoint control stands as a pivotal determinant of steel quality. However, the data derived from the BOF steelmaking process are characterized by high dimension, with intricate nonlinear relationships between variables and diverse working conditions

Externí odkaz: https://doaj.org/article/5d24d6f9108749eab9bcb81b2352007c

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Akademický článek

Soft sensor model for endpoint carbon content and temperature in BOF steelmaking based on just-in-time learning with multilayer structure preservation and sparse information enhancement.

Autor: Su, Yunke^1,2 (AUTHOR), Liu, Hui^1,2 (AUTHOR) liuhui621@126.com, Chen, Fugang³ (AUTHOR), Liu, Jianxun^1,2 (AUTHOR), Li, Heng^1,2 (AUTHOR), Xue, Xiaojun^1,2 (AUTHOR)

Publikováno v: Ironmaking & Steelmaking. Nov2024, p1.

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