Determining of combustion process state based on flame images analysis using k-NN classification

被引：0
|
作者：
Sawicki, Daniel [1 ]
机构：
[1] Lublin Univ Technol, 38A Nadbystrzycka Str, PL-20618 Lublin, Poland
来源：
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017 | 2017年 / 10445卷
关键词：
flame; combustion; co-firing; classification; k-NN; image processing; RADIATION;
D O I：
10.1117/12.2280817
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
This paper presents comparison image classification method of combustion biomass and pulverized coal. 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 k-nearest neighbors algorithm classification to test, validation and classify flame image which correspond with the state of the combustion process.
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页数：7
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