28 September 2016 Determining of combustion process state based on flame images analysis
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Sawicki, 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); doi: 10.1117/12.2248891; https://doi.org/10.1117/12.2248891
PROCEEDINGS
7 PAGES


SHARE
Back to Top