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http://dx.doi.org/10.5391/JKIIS.2003.13.2.163

Flame Detection of Steam Boilers using Neural Networks and Image Information  

Bae, Hyeon (부산대학교 전기공학과)
Park, Dong-Jae (한전기공(주) 울산사업소)
Ahan, Hang-Bae (부산대학교 전기공학과)
Kim, Sung-Shin (부산대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.2, 2003 , pp. 163-168 More about this Journal
Abstract
Several equipments for flame detection are employed in the power generations. But these flame detectors have some problems for the correct performance. So in this paper, we apply different techniques for the flame detection. Image processing techniques are broadly applied in industrial fields. In this paper, the image information is recorded by a camcoder and then these images are preprocessed for the input values of neural network model. We can test and evaluate the approach that uses image information for the flame detection of burners. If this technique is implemented in physical plant, the economical and effective operation could be achieved.
Keywords
Flame detection; image processing; neural network model; image projection;
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