COMBUSTION PROCESS STATE CLASSIFICATION BASED ON FLAME IMAGE ANALYSIS

Daniel Sawicki

d.sawicki@pollub.pl
Politechnika Lubelska, Wydział Elektrotechniki i Informatyki, Instytut Elektroniki i Technik Informacyjnych (Poland)

Abstract

This paper presents comparison image classification method of cofiring biomass and pulverized coal. Defined two class of combustion: stable and unstable for nine variants with different power value parameters and fixed amount biomass. Experimental results show that achieved correct classification of images for the assumed variants. The best results were obtained with K-NN classifier (parameter K = 7).


Keywords:

flame, combustion, image classification

Ballester J, García-Armingol T.: Diagnostic techniques for the monitoring and control of practical flames. Prog. Energy Combustion, 36/2010, 375–411.
  Google Scholar

Boshnakov K., Petkov V., Nikolov M.: Decision Making For Control Of Combustion Process Of Pulverized Coal, Journal of Chemical Technology and Metallurgy, 50/2015, 183–192.
  Google Scholar

Chen R., Fan W., Bian J., Meng F.: Research on Stability Criterion of Furnace Flame Combustion Based on Image Processing, International Conference on Control Engineering and Communication Technology, 2012, 569–572.
  Google Scholar

Cieszczyk, S., Ławicki T., Miaskowski, A.: The Curvelet Transform Application to the Analysis of Data Received from GPR Technique, Elektronika Ir Elektrotechnika, 19(6)/2013, 99–102.
  Google Scholar

Głodek E.: Spalanie i Współspalanie Biomasy - Przewodnik, Oddział Inżynierii Materiałowej, Procesowej i Środowiska, Opole, Maj 2010.
  Google Scholar

Golec T.: Współspalanie biomasy w kotłach energetycznych, Energetyka i Ekologia, 2004, 437–444.
  Google Scholar

González-Cencerrado A., Pela B., Gil A.: Coal flame characterization by means of digital image processing in a semi-industrial scale PF swirl burner, Applied Energy, 94/2012, 375–384.
  Google Scholar

Koronacki J., Ćwik J.: Statystyczne systemy uczące się, Exit, 2008.
  Google Scholar

Lorenz U.: Skutki spalania węgla kamiennego dla środowiska przyrodniczego i możliwości ich ograniczania, Instytut GSMiE PAN, Kraków, 2005, 97–112.
  Google Scholar

Lu G, Yan Y, Colechin M, Hill R.: Monitoring of oscillatory characteristics of pulverized coal flames through image processing and spectral analysis, IEEE Trans Instrum Meas; 55/2006, 226–231.
  Google Scholar

Lu G, Yan Y.: Temperature profiling of pulverized coal flames using multicolour pyrometric and digital imaging techniques, IEEE, 55/2006, 1303–1308.
  Google Scholar

Omiotek Z.: The use of the fractal dimension for analysis of the contour of objects, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2/2012, 8–11.
  Google Scholar

Sawicki D., Kotyra A.: Comparision of selected flame area detection methods in vision diagnostic system, 4/2013, 14–17.
  Google Scholar

Smolarz A.: Diagnostyka procesów spalania paliw gazowych, pyłu węglowego oraz mieszaniny pyłu węglowego i biomasy z wykorzystaniem metod optycznych, Politechnika Lubelska, Lublin, 2013.
  Google Scholar

Su S., Pohl J.H., Holcombe D., Hart J.A.: Techniques to determine ignition, flame stability and burnout of blended coals in p.f. power station boilers, Progress in Energy and Combustion Science, 27/2001, 79–98.
  Google Scholar

Varol M., Atimtay A., Olgun H.: Emission characteristics of co-combustion of a low calorie and high-sulfur-lignite coal and woodchips in a circulating fluidized bed combustor: Part 2. Effect of secondary air and its location, Fuel, 130/2014, 1–9.
  Google Scholar

Wójcik W., Kotyra A., Smolarz A., Gromaszek K.: Nowoczesne metody monitoringu i sterowania procesem spalania paliw stałych w celu zmniejszenia jego oddziaływania na środowisko naturalne, Rocznik Ochrona Środowiska, 13/2011, 1559–1576.
  Google Scholar


Published
2016-12-22

Cited by

Sawicki, D. (2016). COMBUSTION PROCESS STATE CLASSIFICATION BASED ON FLAME IMAGE ANALYSIS . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(4), 77–80. https://doi.org/10.5604/01.3001.0009.5195

Authors

Daniel Sawicki 
d.sawicki@pollub.pl
Politechnika Lubelska, Wydział Elektrotechniki i Informatyki, Instytut Elektroniki i Technik Informacyjnych Poland

Statistics

Abstract views: 217
PDF downloads: 56