On-line prediction of clean coal ash content based on image analysis
Z Qiu, D Dou, D Zhou, J Yang - Measurement, 2021 - Elsevier
Image analysis was adopted to estimate the ash content of clean coal, which contains
approximately 3% ash. Seven features were identified based on the gray histogram of coal …
approximately 3% ash. Seven features were identified based on the gray histogram of coal …
A novel distribution rate predicting method of dense medium cyclone in the Taixi coal preparation plant
D Dou, J Yang, J Liu, H Zhang - International Journal of Mineral Processing, 2015 - Elsevier
To predict real-time distribution curve of dense medium cyclone in the Taixi coal preparation
plant, a new method based on field data was presented. A group of uniformly designed …
plant, a new method based on field data was presented. A group of uniformly designed …
Prediction model of suspension density in the dense medium separation system based on LSTM
C Zheng, J Deng, Z Hong, G Wang - Processes, 2020 - mdpi.com
In the dense medium separation system of coal preparation plant, the fluctuation of raw coal
ash and lag of suspension density adjustment often causes the instability of product quality …
ash and lag of suspension density adjustment often causes the instability of product quality …
[HTML][HTML] Prediction of cleaned coal yield based on different S-shaped curve models in coal cleaning production
P Chen, S Wang, K Shi, C Zhang, C Wang - Energy Reports, 2021 - Elsevier
Five S-shaped curve models are proposed to accurately predict the product yield and
reduce the waste of precious coal resources during the coal cleaning process. Taking the …
reduce the waste of precious coal resources during the coal cleaning process. Taking the …
An optimized LSTM model for clean coal ash content prediction in dense medium separation scenarios on the basis of the dual decomposition method
Y Liu, Y Fan, X Ma, X Dong, F Hu - International Journal of Coal …, 2024 - Taylor & Francis
To increase the accuracy of clean coal ash content prediction during the dense medium
separation process and address the time lag issue encountered when measuring clean coal …
separation process and address the time lag issue encountered when measuring clean coal …
Soft-sensor modeling for separation performance of dense-medium cyclone by field data
D Dou, J Yang, J Liu, Z Zhang… - International Journal of …, 2015 - Taylor & Francis
Four measurable parameters, that is, density of dense-medium suspension (d), inlet
pressure of dense-medium suspension (p), content of magnetic substance (c), and coal feed …
pressure of dense-medium suspension (p), content of magnetic substance (c), and coal feed …
Online prediction of dense medium suspension density based on phase space reconstruction
X Sun, Z Cao, Y Yue, Y Kuang… - Particulate Science and …, 2018 - Taylor & Francis
In the dense medium separation process of the coal preparation plant, the fluctuation of raw
coal quality and the lag of heavy media separation density adjustment often lead to the …
coal quality and the lag of heavy media separation density adjustment often lead to the …
Intelligent control of heavy media separation
W Lv, C Wang - International Journal of Global Energy …, 2023 - inderscienceonline.com
The shortcomings of the density control system for heavy media suspension in the current
coal preparation plant were introduced. The intelligent control system of heavy media …
coal preparation plant were introduced. The intelligent control system of heavy media …
Online optimization research on a feedforward compensation model in an automatic control system for heavy medium-induced separation
G Wang, Y Yue, Y Kuang, Y Shen… - International Journal of …, 2020 - Taylor & Francis
This research applies the correlation between the cumulative float yields of certain density
fractions and raw coal ash content, as well as the δ empirical model in Mayer washability …
fractions and raw coal ash content, as well as the δ empirical model in Mayer washability …