7 August 2017 Determining of combustion process state based on flame images analysis using k-NN classification
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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.
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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); doi: 10.1117/12.2280817; https://doi.org/10.1117/12.2280817
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