Data-Driven Bayesian-Based Takagi-Sugeno Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in Blast Furnace

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.3013972 ◽

2020 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Fuzzy Modeling ◽

Data Driven ◽

Hot Metal ◽

Dynamic Prediction ◽

Takagi Sugeno

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Bayesian Block Structure Sparse Based T–S Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in the Blast Furnace

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2772141 ◽

2018 ◽

Vol 65 (6) ◽

pp. 4933-4942 ◽

Cited By ~ 15

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Block Structure ◽

Fuzzy Modeling ◽

Hot Metal ◽

Dynamic Prediction

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Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace—A Review

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2012.2226897 ◽

2013 ◽

Vol 9 (4) ◽

pp. 2213-2225 ◽

Cited By ~ 50

Author(s):

Henrik Saxen ◽

Chuanhou Gao ◽

Zhiwei Gao

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Discrete Models ◽

Data Driven ◽

Hot Metal ◽

Dynamic Prediction

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Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.106906 ◽

2021 ◽

Vol 219 ◽

pp. 106906

Author(s):

Junpeng Li ◽

Changchun Hua ◽

Yana Yang ◽

Limin Zhang ◽

Xinping Guan

Keyword(s):

Blast Furnace ◽

Fuzzy Modeling ◽

Molten Iron ◽

Takagi Sugeno ◽

Output Space ◽

Molten Iron Quality

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Application of Bayesian Network to Tendency Prediction of Blast Furnace Silicon Content in Hot Metal

Bio-Inspired Computational Intelligence and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-74769-7_63 ◽

2007 ◽

pp. 590-597 ◽

Cited By ~ 1

Author(s):

Wenhui Wang

Keyword(s):

Blast Furnace ◽

Bayesian Network ◽

Silicon Content ◽

Hot Metal

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Development and Practice of Blast Furnace Physical Heat Index Model Based on the Hot Metal Silicon Content and Temperature Prediction Model

TMS 2014 Supplemental Proceedings ◽

10.1002/9781118889879.ch57 ◽

2014 ◽

pp. 469-476 ◽

Cited By ~ 1

Author(s):

Dai Bing ◽

Zhang Jian-Liang ◽

Wang Cui ◽

Jiang Zhe

Keyword(s):

Blast Furnace ◽

Prediction Model ◽

Silicon Content ◽

Heat Index ◽

Hot Metal ◽

Temperature Prediction ◽

Index Model ◽

Model Based ◽

Physical Heat

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Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2020.107028 ◽

2020 ◽

Vol 141 ◽

pp. 107028

Author(s):

Diane Otília Lima Fontes ◽

Luis Gonzaga Sales Vasconcelos ◽

Romildo Pereira Brito

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Soft Sensor ◽

Metal Temperature ◽

Autoregressive Models ◽

Hot Metal ◽

Fuzzy C Means ◽

Nonlinear Autoregressive ◽

Nonlinear Autoregressive Models

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Dynamic grey model for forecasting silicon content in blast furnace hot metal

2008 Chinese Control and Decision Conference ◽

10.1109/ccdc.2008.4597655 ◽

2008 ◽

Author(s):

Xueyi Liu ◽

Wenhui Wang

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Grey Model ◽

Hot Metal

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Artificial neural nets for prediction of silicon content of blast furnace hot metal

Steel Research ◽

10.1002/srin.199605531 ◽

1996 ◽

Vol 67 (12) ◽

pp. 521-527 ◽

Cited By ~ 20

Author(s):

Himanshu Singh ◽

Nallamali Venkata Sridhar ◽

Brahma Deo

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Neural Nets ◽

Hot Metal ◽

Artificial Neural Nets ◽

Artificial Neural

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Prediction of hot metal silicon content in blast furnace based on EMD and DNN

2015 34th Chinese Control Conference (CCC) ◽

10.1109/chicc.2015.7260943 ◽

2015 ◽

Cited By ~ 1

Author(s):

Wang Hongwu ◽

Yang Genke ◽

Pan Changchun ◽

Gong Qingsong

Keyword(s):

Blast Furnace ◽

Silicon Content ◽

Hot Metal

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Modeling of the hot metal silicon content in blast furnace using support vector machine optimized by an improved particle swarm optimizer

Neural Computing and Applications ◽

10.1007/s00521-015-1951-7 ◽

2015 ◽

Vol 27 (6) ◽

pp. 1451-1461 ◽

Cited By ~ 10

Author(s):

Xia Xu ◽

Changchun Hua ◽

Yinggan Tang ◽

Xinping Guan

Keyword(s):

Support Vector Machine ◽

Blast Furnace ◽

Silicon Content ◽

Particle Swarm ◽

Support Vector ◽

Hot Metal ◽

Particle Swarm Optimizer

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