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Proceedings Paper

Determining of combustion process state based on flame images analysis
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 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.

Paper Details

Date Published: 28 September 2016
PDF: 7 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100311Y (28 September 2016); doi: 10.1117/12.2248891
Show Author Affiliations
Daniel Sawicki, Lublin Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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