Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining-Reference-Cited by-同舟云学术

Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining

Published:2021-01-15 Issue:1 Volume:61 Page:108-118
ISSN:0915-1559
Container-title:ISIJ International
language:en
Short-container-title:ISIJ Int.

Author:

Li Hongyang¹,Bu Xiangping²,Liu Xiaojie¹,Li Xin¹,Li Hongwei¹,Liu Fulong³,Lyu Qing¹

Affiliation:

1. College of Metallurgy & Energy, North China University of Science and Technology

2. Hangzhou Pailie Technology Co., Ltd

3. HBIS Group Technology Research Institute

Publisher

Iron and Steel Institute of Japan

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.jstage.jst.go.jp/article/isijinternational/61/1/61_ISIJINT-2020-249/_pdf

Reference18 articles.

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2. 2) D. Hughes, J. Ueyama, E. Mendiondo, N. Matthys, W. Horré, S. Michiels, C. Huygens, W. Joosen, K. L. Man and S. U. Guan: J. Braz. Comput. Soc., 17 (2011), 85.

3. 3) W. J. Zhang and Y. Lin: Enterp. Inf. Syst., 4 (2010), 99.

4. 4) P. Jiang, K. Ding and J. Leng: Manuf. Lett., 7 (2016), 15.

5. 5) C. Lu, X. Li, L. Gao, W. Liao and J. Yi: Comput. Ind. Eng., 104 (2017), 156.

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