A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process

Sheng Du; Min Wu; Luefeng Chen; Kailong Zhou; Jie Hu; Weihua Cao; Witold Pedrycz

doi:10.1109/tii.2019.2935030

A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2935030 ◽

2020 ◽

Vol 16 (4) ◽

pp. 2357-2368 ◽

Cited By ~ 1

Author(s):

Sheng Du ◽

Min Wu ◽

Luefeng Chen ◽

Kailong Zhou ◽

Jie Hu ◽

...

Keyword(s):

Time Series ◽

Feature Extraction ◽

Control Strategy ◽

Iron Ore ◽

Sintering Process ◽

Iron Ore Sintering ◽

Iron Ore Sintering Process ◽

Ore Sintering ◽

Fuzzy Control Strategy ◽

Burn Through

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Prediction model of burn-through point with fuzzy time series for iron ore sintering process

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104259 ◽

2021 ◽

Vol 102 ◽

pp. 104259

Author(s):

Sheng Du ◽

Min Wu ◽

Luefeng Chen ◽

Witold Pedrycz

Keyword(s):

Time Series ◽

Prediction Model ◽

Iron Ore ◽

Fuzzy Time Series ◽

Sintering Process ◽

Iron Ore Sintering ◽

Iron Ore Sintering Process ◽

Ore Sintering ◽

Burn Through

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Operating mode recognition of iron ore sintering process based on the clustering of time series data

Control Engineering Practice ◽

10.1016/j.conengprac.2020.104297 ◽

2020 ◽

Vol 96 ◽

pp. 104297 ◽

Cited By ~ 3

Author(s):

Sheng Du ◽

Min Wu ◽

Luefeng Chen ◽

Weihua Cao ◽

Witold Pedrycz

Keyword(s):

Time Series ◽

Iron Ore ◽

Time Series Data ◽

Operating Mode ◽

Series Data ◽

Sintering Process ◽

Iron Ore Sintering ◽

Mode Recognition ◽

Iron Ore Sintering Process ◽

Ore Sintering

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Intelligent Integrated Control for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2019.2930025 ◽

2020 ◽

Vol 28 (6) ◽

pp. 2497-2505 ◽

Cited By ~ 2

Author(s):

Sheng Du ◽

Min Wu ◽

Xin Chen ◽

Jie Hu ◽

Weihua Cao

Keyword(s):

Iron Ore ◽

Integrated Control ◽

Sintering Process ◽

Efficiency Optimization ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Iron Ore Sintering Process ◽

Ore Sintering ◽

Burn Through

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Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3035800 ◽

2020 ◽

pp. 1-13

Author(s):

Jie Hu ◽

Min Wu ◽

Luefeng Chen ◽

Kailong Zhou ◽

Pan Zhang ◽

...

Keyword(s):

Time Series ◽

Iron Ore ◽

Time Series Prediction ◽

Sintering Process ◽

Fuzzy C Means ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Weighted Kernel ◽

Iron Ore Sintering Process ◽

Ore Sintering

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A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end

Journal of Process Control ◽

10.1016/j.jprocont.2017.01.006 ◽

2017 ◽

Vol 54 ◽

pp. 14-24 ◽

Cited By ~ 18

Author(s):

Xiaoxia Chen ◽

Xin Chen ◽

Jinhua She ◽

Min Wu

Keyword(s):

Feature Extraction ◽

Iron Ore ◽

Soft Sensor ◽

Just In Time ◽

Sintering Process ◽

Cross Sectional ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Iron Ore Sintering Process ◽

Ore Sintering

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An Intelligent Control Scheme for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482985 ◽

2018 ◽

Author(s):

Sheng Du ◽

Min Wu ◽

Jinhua She

Keyword(s):

Intelligent Control ◽

Iron Ore ◽

Sintering Process ◽

Efficiency Optimization ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Control Scheme ◽

Iron Ore Sintering Process ◽

Ore Sintering ◽

Burn Through

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A hybrid time series prediction model based on recurrent neural network and double joint linear–nonlinear extreme learning network for prediction of carbon efficiency in iron ore sintering process

Neurocomputing ◽

10.1016/j.neucom.2017.03.069 ◽

2017 ◽

Vol 249 ◽

pp. 128-139 ◽

Cited By ~ 13

Author(s):

Xiaoxia Chen ◽

Xin Chen ◽

Jinhua She ◽

Min Wu

Keyword(s):

Neural Network ◽

Time Series ◽

Iron Ore ◽

Time Series Prediction ◽

Sintering Process ◽

Learning Network ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Iron Ore Sintering Process ◽

Ore Sintering

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Hierarchical Prediction Model Based on BP Neural Network for Predicting CO/CO2in Iron Ore Sintering Process

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482610 ◽

2018 ◽

Author(s):

Ben Xu ◽

Xin Chen ◽

Yang Zhou

Keyword(s):

Neural Network ◽

Prediction Model ◽

Bp Neural Network ◽

Iron Ore ◽

Sintering Process ◽

Iron Ore Sintering ◽

Model Based ◽

Iron Ore Sintering Process ◽

Ore Sintering

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Thermodynamic and Mineralogical Aspects of Injecting LPG, Coke Oven Gas, and Oxygen into Goethitic Iron Ore Sintering Process

Journal of Sustainable Metallurgy ◽

10.1007/s40831-020-00327-x ◽

2021 ◽

Author(s):

A. V. B. Acharyulu ◽

K. Sudhakar ◽

G. Ramarao ◽

A. Gowthaman ◽

G. Thimmappa ◽

...

Keyword(s):

Iron Ore ◽

Coke Oven ◽

Sintering Process ◽

Coke Oven Gas ◽

Iron Ore Sintering ◽

Iron Ore Sintering Process ◽

Ore Sintering

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Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction

Neural Computing and Applications ◽

10.1007/s00521-016-2615-y ◽

2016 ◽

Vol 28 (6) ◽

pp. 1193-1207 ◽

Cited By ~ 8

Author(s):

Xiaoxia Chen ◽

Xin Chen ◽

Jinhua She ◽

Min Wu

Keyword(s):

Iron Ore ◽

Yield Prediction ◽

Sintering Process ◽

Iron Ore Sintering ◽

Carbon Efficiency ◽

Iron Ore Sintering Process ◽

Ore Sintering

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