Determining of combustion process state based on optical flow flame image sequences

Daniel Sawicki; Jacek Tanaś

doi:10.1117/12.2501644

1 October 2018 Determining of combustion process state based on optical flow flame image sequences

Daniel Sawicki, Jacek Tanaś

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 1080814 (2018) https://doi.org/10.1117/12.2501644
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

Abstract

The stability of flame is an important condition for efficient co-firing of pulverized coal and biomass and stability of whole process. Defined two class of combustion: stable and unstable for nine variants with different power, secondary air value parameters and fixed amount biomass. Considering dynamic changes between successive frames of such video streams the optical flow algorithms could be applied for diagnostic purposes. This paper presents a comparison of the (knearest neighbors and support vector machine) classification method for several video stream based on flow vectors obtained using the Dual TV-L1 algorithm.

Citation Download Citation

Daniel Sawicki and Jacek Tanaś "Determining of combustion process state based on optical flow flame image sequences", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 1080814 (1 October 2018); https://doi.org/10.1117/12.2501644

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