Recent advances in flotation froth image analysis

C Aldrich, E Avelar, X Liu - Minerals Engineering, 2022 - Elsevier
Abstract Machine vision is widely used in the monitoring of froth flotation plants as a means
to assist control operators on the plant. While these systems have a mature ability to analyse …

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 …

Soft metrology based on machine learning: a review

M Vallejo, C De La Espriella… - Measurement …, 2019 - iopscience.iop.org
Soft metrology has been defined as a set of measurement techniques and models that allow
the objective quantification of properties usually determined by human perception such as …

Prediction of critical total drawdown in sand production from gas wells: Machine learning approach

FS Alakbari, ME Mohyaldinn, MA Ayoub… - … Canadian Journal of …, 2023 - Wiley Online Library
Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an
essential indicator of the onset of sand production. Although some models are available for …

Soft sensor of iron tailings grade based on froth image features for reverse flotation

D Zhang, X Gao, W Qi - … of the Institute of Measurement and …, 2022 - journals.sagepub.com
In the iron reverse flotation production process, the amount of flotation agent and the quality
of flotation products are usually judged according to the grade of tailings, so it is essential to …

Prediction model of iron reverse flotation tailings grade based on multi-feature fusion

D Zhang, X Gao, H Wang - Measurement, 2023 - Elsevier
During the production of iron in reverse flotation, obtaining real-time froth grade values helps
to adjust the reagent regime to ensure the quality of the beneficiated product and save …

Image restoration and analysis with application to quality variable prediction in flotation process

Y Salehi, K Zhou, B Huang, X Zhang - Journal of Process Control, 2023 - Elsevier
Flotation process is commonly used to separate valuable minerals from undesirable ones.
Measurement of flotation froth concentration is essential for control applications. The …

基于WCGAN 的矿物浮选泡沫图像光照不变颜色提取

刘金平, 何捷舟, 唐朝晖, 谢永芳, 马天雨 - 自动化学报, 2022 - aas.net.cn
浮选泡沫表面颜色是选矿生产指标(精矿品位) 最为快速便捷的直接指示器. 然而,
泡沫图像信号因受多种可变光照的交叉干扰而不可避免存在严重色偏, 导致浮选指标难以准确 …

Pulp chemistry variables for gaussian process prediction of rougher copper recovery

B Amankwaa-Kyeremeh, K Ehrig, C Greet, R Asamoah - Minerals, 2023 - mdpi.com
Highlights Model-selected input variables for training the GPR model varies in the presence
of pulp chemistry data (pH, Eh, dissolved oxygen and temperature). RNCA showed the pulp …

Advanced Soft-Sensor Systems for Process Monitoring, Control, Optimisation, and Fault Diagnosis

YAW Shardt, K Brooks, X Yang, S Kim - IFAC-PapersOnLine, 2023 - Elsevier
As processes become more complex and the need to measure each and every variable
becomes more critical, the ability of physical sensors to always provide the sufficient …