The use of combined classification for analysis of the combustion process state

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 combined classification with artificial neural networks and support vector machine to classify flame image which correspond with the state of the combustion process.