Determining of combustion process state based on flame images analysis using k-NN classification

Daniel Sawicki

doi:10.1117/12.2280817

7 August 2017 Determining of combustion process state based on flame images analysis using k-NN classification

Daniel Sawicki

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104455V (2017) https://doi.org/10.1117/12.2280817
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

Abstract

This paper presents comparison image classification method of combustion biomass and pulverized coal. Presented research is related with 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 k-nearest neighbors algorithm classification to test, validation and 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 using k-NN classification", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104455V (7 August 2017); https://doi.org/10.1117/12.2280817

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