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Proceedings Paper

Determining of combustion process state based on flame images analysis using k-NN classification
Author(s): Daniel Sawicki
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Paper 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.

Paper Details

Date Published: 7 August 2017
PDF: 7 pages
Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104455V (7 August 2017); doi: 10.1117/12.2280817
Show Author Affiliations
Daniel Sawicki, Lublin Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10445:
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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