Data‐driven modelling methods in sintering process: Current research status and perspectives

F Yan, X Zhang, C Yang, B Hu… - The Canadian Journal …, 2023 - Wiley Online Library
The sintering process, as a primary modus of the blast furnace ironmaking industry, has
enormous economic value and environmental protection significance for the iron and steel …

A survey of data-driven soft sensing in ironmaking system: Research status and opportunities

F Yan, L Kong, Y Li, H Zhang, C Yang, L Chai - ACS omega, 2024 - ACS Publications
Data-driven soft sensing modeling is becoming a powerful tool in the ironmaking process
due to the rapid development of machine learning and data mining. Although various soft …

Mineralization mechanism of limonitic laterite sinter under different fuel dosage: Effect of FeO

Y Tu, Y Zhang, Z Su, T Jiang - Powder Technology, 2022 - Elsevier
To ensure the strength of limonitic laterite sinters, more fuel needs to be added to the
sintering process. Higher content of FeO, which was found to be an important factor affecting …

Deep fusion of time series and visual data through temporal Features: A soft-sensor model for FeO content in sintering process

C Yang, C Yang - Expert Systems with Applications, 2024 - Elsevier
The ferrous oxide (FeO) content in finished sinter is a key indicator of the thermal reaction
state and plays a pivotal role in quality control of the iron ore sintering process. In contrast to …

Online measurement method of FeO content in sinter based on infrared machine vision and convolutional neural network

N Zhang, X Chen, X Huang, X Fan, M Gan, Z Ji, Z Sun… - Measurement, 2022 - Elsevier
Sintering is an important process in iron and steel manufacturing. FeO content of sinter is a
key index for both sintering and blast furnace ironmaking, but it needs manual sampling and …

Multisource Information Fusion for Autoformer: Soft Sensor Modeling of FeO Content in Iron Ore Sintering Process

C Yang, C Yang, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a key thermal-state indicator of the iron ore sintering process, the content of ferrous oxide
(FeO) in the finished sinter is directly related to product quality. Based on the massive data of …

Effect of Feature Selection on the Prediction Model of FeO Content in Sinter

J Xi, X Xing, Z Zheng, Y Wang, S Wang, M Lv - Jom, 2023 - Springer
The prediction of FeO content in sinter is important for operators to adjust the raw material
ratio and process parameters. Feature selection is used to choose the original features that …

Soft sensors using heterogeneous image features for moisture detection of sintering mixture in the sintering process

Z Jiang, J Zhu, D Pan, W Gui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the sintering process, the moisture of the sintering mixture is important information for
sinter quality control, and online accurate detection of mixture moisture is an issue that …

A novel automatic classification method based on the hybrid lightweight shunt network for sintered surfaces

J Fan, M Liu, X Wang, J Wang, H Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate control of sintering temperature is crucial for synthesizing high-quality iron ores. In
practice, the temperature is usually regulated by experienced operators through adjusting …

Heterogeneous data-driven measurement method for FeO content of sinter based on deep learning and tensor decomposition

P Zhou, B Gao, C Zhao, T Chai - Control Engineering Practice, 2023 - Elsevier
FeO content is an important index reflecting the reducibility and drum strength of sinter,
which is of great significance to the subsequent iron-making process. However, due to the …