Determining of combustion process state based on flame images analysis

Daniel Sawicki

doi:10.1117/12.2248891

28 September 2016 Determining of combustion process state based on flame images analysis

Daniel Sawicki

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100311Y (2016) https://doi.org/10.1117/12.2248891
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

Abstract

This paper presents comparison image classification method of combustion biomass and pulverized coal. Presented research is related with 10% and 20% weight fraction of the biomass. Defined two class of combustion: stable and unstable for nine variants with different power, secondary air value parameters and fixed amount biomass. Used artificial neural networks and support vector machine to classify flame image which correspond with the state of the. combustion process.

Citation Download Citation

Daniel Sawicki "Determining of combustion process state based on flame images analysis ", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100311Y (28 September 2016); https://doi.org/10.1117/12.2248891

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