FLAME MONITORING USING IMAGE CLASSIFICATION
Daniel Sawicki
d.sawicki@pollub.plLublin University of Technology, Institute of Electronics and Information Technology (Poland)
Abstract
This paper presents comparison of image classification methods for co-firing biomass and pulverized coal. Two classes of combustion – stable and unstable were defined for nine variants with different power value parameters and fixed amount biomass. Experimental results show that correct classification of images was achieved for the assumed variants.
Keywords:
flame, combustion, image classificationReferences
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Authors
Daniel Sawickid.sawicki@pollub.pl
Lublin University of Technology, Institute of Electronics and Information Technology Poland
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