Paper
7 August 2017 The use of combined classification for analysis of the combustion process state
Author Affiliations +
Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104455W (2017) https://doi.org/10.1117/12.2280819
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
Abstract
In present work comparison combined image classification method of co-firing biomass and pulverized coal are proposed. The images were captured by vision monitoring system with camera and a borescope. Presented research is related with 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 of algorithm (MLP, SVM, k-NN, LDA, QDA) to classify flame image which correspond with the state of the combustion process.
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Daniel Sawicki "The use of combined classification for analysis of the combustion process state", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104455W (7 August 2017); https://doi.org/10.1117/12.2280819
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KEYWORDS
Combustion

Image processing

Image classification

Data analysis

Neurons

Image analysis

Artificial neural networks

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