FLAME MONITORING USING IMAGE CLASSIFICATION

Daniel Sawicki

doi:10.5604/20830157.1194267

Open full text

pdf

Published: Feb 4, 2016

DOI: https://doi.org/10.5604/20830157.1194267

Issue Vol. 6 No. 1 (2016)

Articles

MODELOWANIE – UMIEJĘTNOŚĆ CZY SZTUKA?
Krzysztof Kluszczyński

4-15
GLOW RADIATOR CO2
Jan Kubicki

16-20
MACHINE TRANSLATION WITH JAVANESE SPEECH LEVELS’ CLASSIFICATION
Andrew Nafalski, Aji Prasetya Wibawa

21-25
DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS
Victor Mashkov, Andrzej Smolarz, Volodymyr Lytvynenko

26-28
MODELLING OF VERTICAL SOIL COLLECTORS OF THERMAL PUMPS
Bogdan Sydorchuk, Oleksandr Naumchuk

29-31
MODELLING AND AUTOMATION OF PROCESS OF WATER PURIFICATION BY MAGNETIC FILTER
Andrii Safonyk

32-36
FLAME MONITORING USING IMAGE CLASSIFICATION
Daniel Sawicki

37-40
TWO PHASE GAS-LIQUID FLOWS RECOGNITION USING FUZZY INFERENCE
Paweł Fiderek, Radosław Wajman, Jacek Kucharski

41-43
ANALYSIS OF CORRELATION AND SPECTRAL CHARACTERISTICS OF FRACTAL COMB-STRUCTURED SIGNALS
Ruslan Politanskyi, Andrij Veryga

44-46
SELECTION OF COMPENSATION WIND FARM EQUIPMENT CONNECTED TO THE NETWORK 110 KV
Paweł Pijarski, Michalina Gryniewicz-Jaworska

47-50
VIBRATION REDUCTION OF NONLINEAR OBJECT WITH AN ADAPTIVE PROPORTIONAL-DERIVATIVE CONTROLLER WITH A MRAS STRUCTURE
Mariusz Ostrowski, Wojciech Jarzyna

51-54
EMERGENCY SWITCHING AND ANALYSIS OF THE TRANSIENT STATES OF AN INTERLEAVED CONVERTER
Katarzyna Przytuła

55-58
DYNAMIC POWER CONTROL OF THE GRID CONVERTERS
Dariusz Zieliński

59-62
ASSESSMENT OF THE MAXIMUM ELECTRIC FIELD INDUCED BY AN EXTERNAL MAGNETIC FIELD
Tomasz Lisewski, Agnieszka Mikołajczyk, Stanisław Abramik

63-65
INTERACTIVE, MULTIFUNCTIONAL MIRROR – PART OF A SMART HOME
Szczepan Paszkiel, Robert Kania

66-68
THREE-DIMENSIONAL MODELLING OF THERMAL STRESSES IN A PLANAR SOLID OXIDE FUEL CELL OF A NOVEL DESIGN
Tomasz Zinko, Paulina Pianko-Oprych, Zdzisław Jaworski

69-72

DOI

https://doi.org/10.5604/20830157.1194267

Authors

Daniel Sawicki

d.sawicki@pollub.pl

Lublin University of Technology, Institute of Electronics and Information Technology, Poland

Abstract

This paper presents comparison of image classification methods for co-firing biomass and pulverized coal. Two classes of combustion – stable and unstable were defined for nine variants with different power value parameters and fixed amount biomass. Experimental results show that correct classification of images was achieved for the assumed variants.

Keywords:

flame, combustion, image classification

References

Abidha T. E., Mathai P. P., Divya M.: Vision Based Wildfire Detection Using Bayesian Decision Fusion Framework, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 12, 2013, 4603–4609.

Agrawal S., Verma N. K., Tamrakar P., Sircar P.: Content Based Color Image Classification using SVM, Information Technology: New Generations (ITNG), Eighth International Conference, 2011, 1090–1094.

Dao-guang L., Li-Xia L., Chang-liang L., Jing C.: Flame Furnace In Thermal Power Plant Condition Monitoring Using SVM Proceeding ICICTA'09, Proceedings of Second International Conference on Intelligent Computation Technology and Automation, Vol. 3, 2009, 67–70.

Gu Q., Song Z.: Image Classification Using SVM, KNN and Performance Comparison with Logistic Regression, CS44 Final Project Report.

Hsu Ch., Chang Ch., Lin A.: Practical Guide to Support Vector Classification. Department of Computer Science National Taiwan University, Taipei 106, Taiwan 2010.

Kotyra A., Wójcik W., Gromaszek K., Smolarz A., Jagiełło K.: Assessment of biomass-coal co-combustion on the basis of flame image, Przegląd Elektrotechniczny, 11b/2012, 295–297.

Linghu B., Sun B.: Constructing effective SVM ensembles for image classification, Knowledge Acquisition and Modeling (KAM), 3rd International Symposium, 2010, 80–83.

Wen Z., Hu Y., Zhu W.: Bayesian Classification of Halftone Image based on Region Covariance, Third International Conference on Intelligent System Design and Engineering Applications, IEEE, 2013.

Zongfang M., Yongmei Ch., Huiqin W., Najuan Y.: Research of Flame Image Recognition Algorithm Based on SVM, Information Science and Engineering (ICISE), 1st International Conference, 2009, 1399–1401.

Sawicki, D. (2016). FLAME MONITORING USING IMAGE CLASSIFICATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(1), 37–40. https://doi.org/10.5604/20830157.1194267

FLAME MONITORING USING IMAGE CLASSIFICATION

Issue Vol. 6 No. 1 (2016)

Archives

DOI

Authors

Abstract

Keywords:

References

License

Article Sidebar

Issue Vol. 6 No. 1 (2016)

Archives

Main Article Content

DOI

Authors

Abstract

Keywords:

References

Article Details

License