LKDPNet: Large-Kernel Depthwise-Pointwise convolution neural network in estimating coal ash content via data augmentation
K Zhang, W Wang, Z Lv, J Feng, H Li, C Zhang - Applied Soft Computing, 2023 - Elsevier
Product quality monitoring is one of the most critical demands in the coal industry.
Conventional coal quality analysis is offline, laborious, and lagging behind coal production …
Conventional coal quality analysis is offline, laborious, and lagging behind coal production …
Analysis of particle size distribution of coke on blast furnace belt using object detection
M Li, X Wang, H Yao, H Saxén, Y Yu - Processes, 2022 - mdpi.com
Particle size distribution is an important parameter of metallurgical coke for use in blast
furnaces. It is usually analyzed by traditional sieving methods, which cause delays and …
furnaces. It is usually analyzed by traditional sieving methods, which cause delays and …
The Potential Of Biomass Co-firing In Overcoming Coal Limitation In Steam Power Plants
EH Sanjaya, MS Alwy, AK Syahroni… - E3S Web of …, 2024 - e3s-conferences.org
The limitations that lead to coal scarcity are interesting to study, because coal is used as the
main fuel source in steam power plants (PLTU). In this study, the use of biomass made in the …
main fuel source in steam power plants (PLTU). In this study, the use of biomass made in the …
[PDF][PDF] Analysis of Particle Size Distribution of Coke on Blast Furnace Belt Using Object Detection. Processes 2022, 10, 1902
M Li, X Wang, H Yao, H Saxén, Y Yu - 2022 - research.abo.fi
Particle size distribution is an important parameter of metallurgical coke for use in blast
furnaces. It is usually analyzed by traditional sieving methods, which cause delays and …
furnaces. It is usually analyzed by traditional sieving methods, which cause delays and …