Multiscale feature fusion and semi-supervised temporal-spatial learning for performance monitoring in the flotation industrial process

Y Wang, S Li, C Liu, K Wang, X Yuan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article studies the performance monitoring problem for the potassium chloride flotation
process, which is a critical component of potassium fertilizer processing. To address its froth …

Explainable machine learning rapid approach to evaluate coal ash content based on X-ray fluorescence

Z Wen, H Liu, M Zhou, C Liu, C Zhou - Fuel, 2023 - Elsevier
As one of the most important indexes of coal quality, accurate and rapid prediction of ash
content is urgent and important significance for the coal processing industry. In this work …

[HTML][HTML] Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method

A Homafar, H Nasiri, SC Chelgani - Fuel Communications, 2022 - Elsevier
Coking coal is still on the list of critical raw materials in many countries since it is the main
element integrated into the blast furnace. While the energy consumption and steelmaking …

Spent-medium leaching of germanium, vanadium and lithium from coal fly ash with biogenic carboxylic acids and comparison with chemical leaching

H Rezaei, SZ Shafaei, H Abdollahi, S Ghassa… - Hydrometallurgy, 2023 - Elsevier
Coal fly ash (CFA), produced in coal-fired power plants, is categorized as hazardous waste
and has caused serious environmental impacts. The CFA contains significant amounts of …

Analyzing process parameters for industrial grinding circuit based on machine learning method

J Peng, W Sun, J Xu, G Zhou, L **e, H Han… - Advanced Powder …, 2023 - Elsevier
The grinding and classification processes are systematic engineering that must
comprehensively consider the influence of several factors to ensure good grinding fineness …

A review of all aspects of dry coal cleaning methods and evaluation of widely used applications

M Kademli - International Journal of Oil, Gas and Coal …, 2023 - inderscienceonline.com
Although there are many developments in the energy industry, coal still holds its vital place
and seems to have a major role in future. That is why the direct utilisation of coal becomes …

[PDF][PDF] Evaluation of parametric effects of coal flotation based on boosting modeling method

Y Ji, L Wang, G Ren, T Xu, X Li, X Chen… - … . Probl. Miner. Process, 2024 - researchgate.net
Accurate assessment of the effects of parameters on the flotation process is important for
understanding the complex flotation mechanisms. To address the problem of unsatisfactory …

[HTML][HTML] Deep-XFCT: deep learning 3D-mineral liberation analysis with micro-X-ray fluorescence and computed tomography

PKM Tung, AY Halim, H Wang, A Rich, C Marjo… - Energies, 2022 - mdpi.com
Quantitative characterisation through mineral liberation analysis is required for effective
minerals processing in areas such as mineral deposits, tailings and reservoirs in industries …

基于数据生命周期的煤泥浮选智能控制技术研究进展.

周长春, 温智**, 周脉**, 徐舸 - Clean Coal Technology, 2024 - search.ebscohost.com
随着国家政策和新一代人工智能技术的持续牵引, 矿山智能化研究取得突破, 其中,
选煤厂智能化建设受到高度关注, 煤泥浮选智能控制技术一直是阻碍选煤厂智能化建设的关键 …

[PDF][PDF] Fuel Communications

A Homafar, H Nasiri, SC Chelgani - Fuel, 2022 - hamidnasiri.com
Coking coal is still on the list of critical raw materials in many countries since it is the main
element integrated into the blast furnace. While the energy consumption and steelmaking …