Unsupervised quantitative judgment of furnace combustion state with CBAM-SCAE-based flame feature extraction

Y Lv, X Qi, X Zheng, F Fang, J Liu - Journal of the Energy Institute, 2024 - Elsevier
The furnace combustion state of coal-fired power plants is difficult to accurately monitor
during low-load and dynamic operation conditions, thus hindering the secure and economic …

Effect of air distribution mode on jet flame and emission characteristics of high temperature gas-solid mixed fuel

Y Lu, N Fang, B Zhang, W Li, S Dong, M Gong… - Journal of the Energy …, 2024 - Elsevier
The characteristics of the flame can not only intuitively reflect the flow, mixing and reaction
processes of fuel and oxidant, but also provide detailed information on combustion efficiency …

Experimental investigation of methanol flame structure visualization in a boiler burner

Z Wang, H Liu, J Niu, Y Yan, Y Jin, Z Wu - Fuel, 2025 - Elsevier
Methanol fuel, as a potential alternative energy source, offers the promise of reducing oil
dependency and controlling carbon dioxide emissions. However, its application in industrial …

An image-processing method based on regional separation-parameter coupling for the stability analysis of biodiesel flame

C Tang, F Li, H Zhang, Y Duan, Z Zhu… - Journal of the Energy …, 2024 - Elsevier
Flame stability is vital to obtain good combustion performance. Therefore, the development
of flame stabilization technologies and stability evaluation methods has always received …

Application of Fuzzy Neural Networks in Combustion Process Diagnostics

Ż Grądz, W Wójcik, K Gromaszek, A Kotyra, S Smailova… - Energies, 2023 - mdpi.com
Coal remains one of the key raw materials used in the energy industry to generate electricity
and heat. As a result, diagnostics of the combustion process is still an important topic of …

[HTML][HTML] Indicators for Assessing the Combustion Intensity of Coal Particles Using a Single UV Sensor

D Choiński, K Stebel, A Malcher, P Bocian… - Journal of Sensor and …, 2024 - mdpi.com
This paper deals with the evaluation of the combustion intensity of coal particles on the basis
of measurement data (UV radiation) from a scanning point photodiode. UV radiation is …

Prediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions

Z Han, X Tang, Y Xie, R Liang, Y Bao - Energy, 2024 - Elsevier
Accurate and reliable prediction of combustion emissions is essential for combustion
optimization adjustment. Existing data-driven approaches are limited by insufficient labeled …

Flame intensity sensor based on the resistive and memory properties of spintronic memristor

C Wen, X Zhang, X Guo, F Ru, S Quan - Sensors and Actuators A: Physical, 2024 - Elsevier
A flame intensity sensor based on the resistive and memory properties of spintronic
memristor is proposed. The sensor circuit mainly consists of the infrared radiation …

Unsupervised Quantitative Assessment of Furnace Combustion Process Based on Flame Images and Att-Scae Model

Y Liu, Y Lv, F Fang, T Qiu, J Liu, X Fang - Available at SSRN 4435503 - papers.ssrn.com
Accurate and timely assessment of the flame combustion process in the furnace of coal-fired
power plants is crucial for the secure and economic operation of the units. This paper …

[PDF][PDF] Image processing to calculate flame velocity based on Deep Learning

C De-La-Cruz, J Torres, F Rojas - enerqj.com
Flame velocity is one of the main characteristics of combustion. One of the methods to
measure flame velocity is to determine the flame area by approximating the shape of the …