Judging Furnace Outfire Based on Furnace Operation Conditions & Support Vector Machine

Author

Liu He ; Lan Ligang

Author_Institution

Dept. Autom., North China Electr. Power Univ., Beijing, China

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

4

Abstract

A method of judging furnace burning outfire based on flame image information was studied. Three feature vectors were extracted from furnace flame images. A method of using Support Vector Machine combined with furnace operation conditions to judge furnace outfire was designed. According to signals of coal mill outage and coal valve switch, burner outfire was judged when powder burner off. And combustion states were classified by Support Vector Machine when powder is being sprayed. The method is simple, convenient and practical and has high correct classification rate.

Keywords

coal; feature extraction; flames; furnaces; power engineering computing; support vector machines; thermal power stations; coal mill outage; coal valve switch; combustion states; flame image information; furnace burning outfire; furnace operation condition; support vector machine; Data mining; Feature extraction; Fires; Furnaces; Milling machines; Powders; Support vector machine classification; Support vector machines; Switches; Valves;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4812-8

Electronic_ISBN

978-1-4244-4813-5

Type

conf

DOI

10.1109/APPEEC.2010.5449121

Filename

5449121