Using PCA in flame vision monitoring system

Daniel Sawicki

doi:10.1117/12.2074701

16 December 2014 Using PCA in flame vision monitoring system

Daniel Sawicki

Proceedings Volume 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014; 92900D (2014) https://doi.org/10.1117/12.2074701
Event: Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments, 2014, Warsaw, Poland

Abstract

This paper presents comparison image classification method of co-firing biomass and pulverized coal. Defined two class of combustion: stable and unstable for three variants with different power value parameters and fixed amount biomass. Used Principal component analysis for determine the most important features that affect the state of the combustion process.

Citation Download Citation

Daniel Sawicki "Using PCA in flame vision monitoring system", Proc. SPIE 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014, 92900D (16 December 2014); https://doi.org/10.1117/12.2074701

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