Assessing the Predictability for Blast Furnace System through Nonlinear Time Series Analysis-Reference-Cited by-同舟云学术

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Assessing the Predictability for Blast Furnace System through Nonlinear Time Series Analysis

Published:2008-03-28 Issue:9 Volume:47 Page:3037-3045
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gao Chuanhou¹,Zhou Zhimin²,Chen Jiming³

Affiliation:

1. Institute of Systems Optimization Techniques, Department of Mathematics, Zhejiang University, Hangzhou 310027, People's Republic of China

2. College of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou 310018, People's Republic of China

3. Institute of Industrial Process Control, Department of Control, Zhejiang University, Hangzhou 310027, People's Republic of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie070879s

Reference33 articles.

1. Kinetics of Silicon Transfer from a Gas Phase to Molten Iron

2. The transfer of silicon from the gas phase to molten iron in the blast furnace

3. Kinetics of the reaction of SiO(g) with carbon saturated iron

4. The reaction of SiO(g) with liquid slags

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1. Predictive Modeling of the Hot Metal Sulfur Content in a Blast Furnace Based on Machine Learning;Metals;2023-01-31

2. Real-time Blast Furnace Monitoring based on Temporal Sub-mode Recognition;2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2022-05-16

3. A Context-Aware Enhanced GRU Network with Feature-Temporal Attention for Prediction of Silicon Content in Hot Metal;IEEE Transactions on Industrial Informatics;2021

4. Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models;Sensors;2019-09-03

5. Prediction of coal feeding during sintering in a rotary kiln based on statistical learning in the phase space;ISA Transactions;2018-12

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