The recycling and reuse of steelmaking slags—A review
Large volumes of slags are formed as by-products during the refinement of pig iron by basic
oxygen steelmaking or electric arc furnace steelmaking. In order to lower the environmental …
oxygen steelmaking or electric arc furnace steelmaking. In order to lower the environmental …
Data-driven robust M-LS-SVR-based NARX modeling for estimation and control of molten iron quality indices in blast furnace ironmaking
Optimal operation of an industrial blast furnace (BF) ironmaking process largely depends on
a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the …
a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the …
Data-driven nonlinear subspace modeling for prediction and control of molten iron quality indices in blast furnace ironmaking
Blast furnace (BF) in ironmaking is a nonlinear dynamic process with complicated physical-
chemical reactions, where multiphases and multifields interactions with long time delay …
chemical reactions, where multiphases and multifields interactions with long time delay …
Stochastic configuration networks with block increments for data modeling in process industries
Stochastic configuration networks (SCNs) that employ a supervisory mechanism to
automatically and fast construct universal approximators can achieve promising …
automatically and fast construct universal approximators can achieve promising …
Temperature measurement and compensation method of blast furnace molten iron based on infrared computer vision
The temperature of molten iron at the taphole of blast furnace (BF) is an important parameter
that reflects molten iron quality and BF conditions. It is not easy to measure the temperature …
that reflects molten iron quality and BF conditions. It is not easy to measure the temperature …
Soft sensors based on adaptive stacked polymorphic model for silicon content prediction in ironmaking process
The silicon content of molten iron is a key index to reveal the thermal state in the blast
furnace (BF). To improve the quality of molten iron, it is important to obtain silicon content …
furnace (BF). To improve the quality of molten iron, it is important to obtain silicon content …
Data-driven robust RVFLNs modeling of a blast furnace iron-making process using Cauchy distribution weighted M-estimation
Optimal operation of a practical blast furnace (BF) iron-making process depends largely on a
good measurement of molten iron quality (MIQ) indices. However, measuring the MIQ online …
good measurement of molten iron quality (MIQ) indices. However, measuring the MIQ online …
Bayesian block structure sparse based T–S fuzzy modeling for dynamic prediction of hot metal silicon content in the blast furnace
Since the hot metal silicon content simultaneously reflects the product quality and the
thermal state of the blast furnace, its modeling is crucial and representative. In order to …
thermal state of the blast furnace, its modeling is crucial and representative. In order to …
Prediction of multiple molten iron quality indices in the blast furnace ironmaking process based on attention-wise deep transfer network
Molten iron quality (MIQ) indices prediction based on data-driven models is an important
way to monitor product quality and smelting status in the blast furnace ironmaking process …
way to monitor product quality and smelting status in the blast furnace ironmaking process …
Support Vector Machines for decision support in electricity markets׳ strategic bidding
Energy systems worldwide are complex and challenging environments. Multi-agent based
simulation platforms are increasing at a high rate, as they show to be a good option to study …
simulation platforms are increasing at a high rate, as they show to be a good option to study …