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

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 k-nearest neighbors algorithm classification to classify flame image which correspond with the state of the combustion process.

Author: Daniel Sawicki
Conference: Title