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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 34, 2007 - Issue 3
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Articles

Hot metal temperature prediction in blast furnace using advanced model based on fuzzy logic tools

Pages 241-247 | Published online: 18 Jul 2013

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Read on this site (5)

Qiang Zhao, Yaxin Huo, Meng Li & Yinghua Han. (2022) Data-driven reliable prediction of production indicators in the blast furnace using TS fuzzy neural network based on bat algorithm. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-22.
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Ashish Agrawal, Mahesh K. Agarwal, Anil K. Kothari & Santanu Mallick. (2019) A mathematical model to control thermal stability of blast furnace using proactive thermal indicator. Ironmaking & Steelmaking 46:2, pages 133-140.
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Z. H. Jiang, D. Pan, W. H. Gui, Y. F. Xie & C. H. Yang. (2018) Temperature measurement of molten iron in taphole of blast furnace combined temperature drop model with heat transfer model. Ironmaking & Steelmaking 45:3, pages 230-238.
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Tinkle Chugh, Nirupam Chakraborti, Karthik Sindhya & Yaochu Jin. (2017) A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem. Materials and Manufacturing Processes 32:10, pages 1172-1178.
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Y. Liu & Z. Gao. (2015) Enhanced just-in-time modelling for online quality prediction in BF ironmaking. Ironmaking & Steelmaking 42:5, pages 321-330.
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Articles from other publishers (52)

Wei Xu, Jingjing Liu, Jinman Li, Hua Wang & Qingtai Xiao. (2024) A novel hybrid intelligent model for molten iron temperature forecasting based on machine learning. AIMS Mathematics 9:1, pages 1227-1247.
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Ran Liu, Zhi-feng Zhang, Xin Li, Xiao-jie Liu, Hong-yang Li, Xiang-ping Bu, Jun Zhao & Qing Lyu. (2023) Hot metal quality monitoring system based on big data and machine learning. Journal of Iron and Steel Research International.
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Arun Kumar, Ashish Agrawal, Ashok Kumar & Sunil Kumar. (2023) Prediction of hot metal temperature in a blast furnace iron making process using multivariate data analysis and machine learning methodology. Metallurgical Research & Technology 120:6, pages 605.
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Yoshinari Hashimoto, Ryosuke Masuda, Max Mulder & Marinus M. (René) van Paassen. (2022) Automatic Control of Hot Metal Temperature. Metals 12:10, pages 1624.
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Yanjiao Li, Jie Zhang, Sen Zhang & Wendong Xiao. (2022) Dual ensemble online modeling for dynamic estimation of hot metal silicon content in blast furnace system. ISA Transactions 128, pages 686-697.
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Jianqi Ruan, Bob Nooning, Ivan Parkes, Wal Blejde, George Chiu & Neera Jain. (2022) A Training-Free Data-Driven Method for Input-Output Modeling of Complex Processes. IFAC-PapersOnLine 55:37, pages 92-98.
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Pinggai Zhang, Yiyu Jiang, Mengzhen Wang, Minrui Fei, Ling Wang & Aleksandar Rakic. (2021) Furnace Temperature Prediction Using Optimized Kernel Extreme Learning Machine. Furnace Temperature Prediction Using Optimized Kernel Extreme Learning Machine.
Erdoğan Bozkurt, İlhami M. Orak & Yasin Tunçkaya. (2021) Performance analysis of hot metal temperature prediction in a blast furnace and expert suggestion system proposal using neural, statistical and fuzzy models. Metallurgical Research & Technology 118:3, pages 321.
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Diane Otília Lima Fontes, Luis Gonzaga Sales Vasconcelos & Romildo Pereira Brito. (2020) 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 141, pages 107028.
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Shaohan Chen & Chuanhou Gao. (2020) Linear Priors Mined and Integrated for Transparency of Blast Furnace Black-Box SVM Model. IEEE Transactions on Industrial Informatics 16:6, pages 3862-3870.
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Gaopeng Wang & Haipeng Zhai. (2020) Prediction Model of Silicon Content in Hot Metal Based on ARX and PCR and Its Use for PCI_Rate Control In Blast Furnace. Prediction Model of Silicon Content in Hot Metal Based on ARX and PCR and Its Use for PCI_Rate Control In Blast Furnace.
Miha Kovačič & Uroš Župerl. (2020) Genetic programming in the steelmaking industry. Genetic Programming and Evolvable Machines 21:1-2, pages 99-128.
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José Díaz, Francisco Javier Fernández & María Manuela Prieto. (2019) Hot Metal Temperature Forecasting at Steel Plant Using Multivariate Adaptive Regression Splines. Metals 10:1, pages 41.
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E.V. Zagoskina & T.A. Barbasova. (2019) Control of the Blast Furnace Thermal State Based on the Neural Network Simulation. Control of the Blast Furnace Thermal State Based on the Neural Network Simulation.
Yoshinari Hashimoto, Yuki Okamoto, Tatsuya Kaise, Yoshitaka SawaManabu Kano. (2019) Practical Operation Guidance on Thermal Control of Blast Furnace. ISIJ International 59:9, pages 1573-1581.
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He, Ji, Liu, Gao & Liu. (2019) Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models. Sensors 19:17, pages 3814.
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José Díaz, Francisco Javier Fernández & Inés Suárez. (2019) Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques. Energies 12:17, pages 3235.
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Na Guo, Hongyu Zheng, Tao Zou & Yang Jia. (2019) Integration of Numerical Simulation and Control Scheme for Energy Conservation of Aluminum Melting Furnaces. IEEE Access 7, pages 114659-114669.
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Ashish Agrawal, Anil Kumar Kothari, Arun Kumar, Manish Kumar Singh, Shivendra Kumar Dubey, R.V. Ramna & Shambhu Nath. (2019) Advances in thermal level measurement techniques using mathematical models, statistical models and decision support systems in blast furnace. Metallurgical Research & Technology 116:4, pages 421.
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Yoshinari Hashimoto, Yohei Kitamura, Tomohiro Ohashi, Yoshitaka Sawa & Manabu Kano. (2019) Transient model-based operation guidance on blast furnace. Control Engineering Practice 82, pages 130-141.
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Jianqi An, Jinhua She, Huicong Chen & Min Wu. 2019. Evolutionary Computing and Artificial Intelligence. Evolutionary Computing and Artificial Intelligence 77 87 .
Bashista Kumar Mahanta & Nirupam Chakraboti. 2019. Optimization in Industry. Optimization in Industry 211 252 .
Gaopeng Wang. (2018) Silicon Prediction Model of Blast Furnace Based on ARX and PCR. Silicon Prediction Model of Blast Furnace Based on ARX and PCR.
Uzma Iffat, Sahil Bhatia, Alexandru Tantar, Jorge Sanz, Cedric Schockaert, Alexander Schimtz, Frank Giroldini, Yves Reuter & Fabrice Hansen. (2018) New Digital Services for Manufacturing Industry Using Analytics: The Case of Blast Furnace Thermal Regulation. New Digital Services for Manufacturing Industry Using Analytics: The Case of Blast Furnace Thermal Regulation.
Yanjiao Li, Sen Zhang, Yixin Yin, Wendong Xiao & Jie Zhang. (2017) A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces. Sensors 17:8, pages 1847.
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Kun Chen, Yu Liang, Zengliang Gao & Yi Liu. (2017) Just-in-Time Correntropy Soft Sensor with Noisy Data for Industrial Silicon Content Prediction. Sensors 17:8, pages 1830.
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Zhenyu Ding, Jie Zhang & Yi Liu. (2017) Ensemble Non-Gaussian Local Regression for Industrial Silicon Content Prediction. ISIJ International 57:11, pages 2022-2027.
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Yongliang Yang, Yixin Yin, Donald Wunsch, Sen Zhang, Xianzhong Chen, Xiaoli Li, Shusen Cheng, Min Wu & Kang-Zhi Liu. (2017) Development of Blast Furnace Burden Distribution Process Modeling and Control. ISIJ International 57:8, pages 1350-1363.
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Kun Chen & Yi Liu. (2017) Adaptive Weighting Just-in-Time-Learning Quality Prediction Model for an Industrial Blast Furnace. ISIJ International 57:1, pages 107-113.
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Xia Xu, Changchun Hua, Yinggan Tang & Xinping Guan. (2015) 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 27:6, pages 1451-1461.
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Zhugang Yuan, Qiang Zhang, Xianlei Zhang & Zhe Su. (2015) Modeling for cement combined grinding system with closed grinding process based on LS-SVM in typical working condition. Modeling for cement combined grinding system with closed grinding process based on LS-SVM in typical working condition.
Ling Jian, Yunquan Song, Shuqian Shen, Yan Wang & Haiqing Yin. (2015) Adaptive Least Squares Support Vector Machine Predictor for Blast Furnace Ironmaking Process. ISIJ International 55:4, pages 845-850.
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Niao Na Zhang & Xu Liu. (2014) Data-Driven Based Temperature Prediction of Ferroalloy Electric Furnace Smelting Process. Applied Mechanics and Materials 668-669, pages 557-560.
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Xia Xu, Changchun Hua, Yinggan Tang & Xinping Guan. (2014) Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression. Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression.
Zhe Su, Zhugang Yuan, Qiang Zhang & Xianlei Zhang. (2014) An online switching modeling for calciner outlet temperature via grey correlation analysis. An online switching modeling for calciner outlet temperature via grey correlation analysis.
Zhe Su, Zhugang Yuan, Qiang Zhang & Shaowei Wu. (2014) Control-oriented modeling and simulation for calciner outlet temperature based on regression analysis. Control-oriented modeling and simulation for calciner outlet temperature based on regression analysis.
Chuanhou Gao, Qinghuan Ge & Ling Jian. (2014) Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making. IEEE Transactions on Fuzzy Systems 22:3, pages 586-596.
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Henrik Saxen, Chuanhou Gao & Zhiwei Gao. (2013) 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 9:4, pages 2213-2225.
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Shihua Luo, Chuanhou Gao, Jiusun Zeng & Jian Huang. (2013) Blast Furnace System Modeling by Multivariate Phase Space Reconstruction and Neural Networks. Asian Journal of Control 15:2, pages 553-561.
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Ling Jian, Chuanhou Gao & Zhonghang Xia. (2012) Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. IEEE Transactions on Automation Science and Engineering 9:4, pages 763-777.
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Arthur L. Dexter. 2012. Monitoring and Control of Information‐Poor Systems. Monitoring and Control of Information‐Poor Systems 1 11 .
Chuanhou Gao, Ling Jian, Xueyi Liu, Jiming Chen & Youxian Sun. (2011) Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. IEEE Transactions on Neural Networks 22:12, pages 2272-2283.
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Xueyi Liu & Wenhui Wang. (2011) Using multivariate grey model and principal component analysis to modeling the blast furnace. Using multivariate grey model and principal component analysis to modeling the blast furnace.
Ling Jian, Chuanhou Gao & Zunquan Xia. (2011) A Sliding-window Smooth Support Vector Regression Model for Nonlinear Blast Furnace System. steel research international 82:3, pages 169-179.
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I. Ruiz-Bustinza, J. Mochón, L. Verdeja, F. Garcia-Carcedo & R. Parra. (2010) A New Advisor System to Detect the ‘Tap Hole Whistling and Splashing’ in a Blast Furnace. Archives of Metallurgy and Materials 55:4.
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Chuan-Hou GAO, Ling JIAN, Ji-Ming CHEN & You-Xian SUN. (2009) Data-driven Modeling and Predictive Algorithm for vskip0.3 baselineskip Complex Blast Furnace Ironmaking Process. Acta Automatica Sinica 35:6, pages 725-730.
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Jiu-sun Zeng & Chuan-hou Gao. (2009) Improvement of identification of blast furnace ironmaking process by outlier detection and missing value imputation. Journal of Process Control 19:9, pages 1519-1528.
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Xiang-guan Liu & Gang Zhou. (2009) A Closed Loop Control Framework for Blast Furnace Ironmaking Process. A Closed Loop Control Framework for Blast Furnace Ironmaking Process.
Chuanhou Gao, Jiming Chen, Jiusun Zeng, Xueyi Liu & Youxian Sun. (2009) A chaos-based iterated multistep predictor for blast furnace ironmaking process. AIChE Journal 55:4, pages 947-962.
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Chuanhou Gao, Zhimin Zhou & Jiming Chen. (2008) Assessing the Predictability for Blast Furnace System through Nonlinear Time Series Analysis. Industrial & Engineering Chemistry Research 47:9, pages 3037-3045.
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Jiu-sun Zeng, Xiang-guan Liu, Chuan-hou Gao, Shi-hua Luo & Ling Jian. (2008) Wiener Model Identification of Blast Furnace Ironmaking Process. ISIJ International 48:12, pages 1734-1738.
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Ling Jian, Chuanhou Gao, Lei Li & Jiusun Zeng. (2008) Application of Least Squares Support Vector Machines to Predict the Silicon Content in Blast Furnace Hot Metal. ISIJ International 48:11, pages 1659-1661.
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