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Research on Flame Combustion Stability Based on Neural Network(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2012年04期
Page:
140-144
Research Field:
计算机科学
Publishing date:

Info

Title:
Research on Flame Combustion Stability Based on Neural Network
Author(s):
Chen Shuqian; Bai Guizhi
School of Computer Engineering,Huaihai Institute of Technology,Lianyungang 222005,China
Keywords:
boiler;  combustion detection;  combustion stability; neural network
PACS:
TK227.1
DOI:
-
Abstract:
The paper aims at researching boiler flame stability problems and improving boiler combustion flame detection accuracy． For the use of boiler flame image analysis to detect the boiler flame combustion stability，when the combustion is affected， the flame appeared short pulsation． The traditional detection methods based on gray scale variance can not avoid the impact of flame pulsation on account of the inaccuracy of the boiler combustion stability detection． This paper presents a flame combustion instability detection method based on neural network and selects multiple features which are directly related to the flame stability as neural network input vector． Experiments show that this method can fight off the tiny ripple influence caused by the impurities combustion or peak and simultaneously，make accurate detection of the boiler combustion stability．

References:

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Last Update: 2013-03-11