Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN
Author:
Affiliation:
1. Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310014, People’s Republic of China
2. Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taiwan 320, Republic of China
Funder
National Natural Science Foundation of China
Ministry of Science and Technology, Taiwan
Publisher
American Chemical Society (ACS)
Subject
Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.7b00576
Reference39 articles.
1. Investigating the combustion characteristic temperature of 28 kinds of Chinese coal in oxy-fuel conditions
2. Oxy-fuel combustion kinetics and morphology of coal chars obtained in N2 and CO2 atmospheres in an entrained flow reactor
3. Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler
4. An experimental study on flame stability and pollutant emission in a cyclone jet hybrid combustor
5. Flame image recognition of alumina rotary kiln by artificial neural network and support vector machine methods
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