|Table of Contents|

Combustion State Online Recognition and Prediction of Gas Flame

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2008年04期
Page:
468-471
Research Field:
Publishing date:

Info

Title:
Combustion State Online Recognition and Prediction of Gas Flame
Author(s):
ZHU Shu-guangYI Yong-guangTAN Jun-jieLIU Xin-zhi
School of Power Engineering,NUST,Nanjing 210094,China
Keywords:
combustion state flame images back-propagation neural network online recognition prediction
PACS:
TK16
DOI:
-
Abstract:
An experimental system is established to recognize and to predict the different combustion states.The flux of air is steady,the flux of the liquefied petroleum gas(LPG) is changed continuously by the system to get some typical combustion states,such as the steady combustion state,the flameout state and the diffusion combustion state.The combustion flame images are collected on line by the video capture card,and its characteristic parameters such as the flame’s shape and position,and the radiation intensity are analyzed by the image recognition program.Based on these parameters,the combustion state is recognized by the back-propagation(BP) neural network with momentum and variable learning rate.The later combustion states are predicted by the prediction program.Experimental results show that the system can accurately recognize the different combustion states and predict the later combustion state on line.

References:

[1] Yang Rong jie, L iYup ing, Zhang Jie, et a .l D iagnostics o f flam e tem pe rature d istr ibu tion of so lid prope llant by spectrog raph ic ana lysis [ J ] . Combustion and Flam e, 2006 ( 145) : 836- 844.
[2] FlandroA, Fischbach R, M a jdalan i J. Nonlinear rocket m otor stab ility pred iction: L im it am plitude, tr igger ing, and mean pressure sh ift [ J]. Physics of Flu ids, 2007, 19 ( 094101): 1- 16.
[3] 赵文华, 朱曙光, 田阔, 等. 燃煤锅炉火焰温度测量 [ J] . 燃烧科学与技术, 2001, 7( 3): 275- 277.
[4] 赵文华, 朱曙光, 李岩, 等. 用相对强度法测量固体 推进剂火焰温度分布[ J] . 光谱学与光谱分析, 2004, 24( 9): 1 144- 1 147.
[5] 梁钦锋, 于广锁, 牛苗任, 等. 基于小波变换的气化 燃烧状态诊断试验研究[ J]. 热能动力工程, 2005, 20( 5): 506- 508.
[6] 李芳芹, 任建兴, 孙雪松, 等. 锅炉燃烧状态的数值 模拟和改造方案[ J]. 华北电力, 2006, 34( 1): 19 - 22.
[7] 卫成业, 严建华. 基于炉内火焰图像的燃烧诊断 [ J] . 动力工程, 2003, 3( 6): 2 420- 2 427.
[8] 董晓峰, 高庆忠, 刘广生. 基于BP网络的燃烧器火 焰燃烧状态识别[ J] . 东北电力学院学报, 2005, 25 ( 1): 44- 47.
[9] 朱曙光, 宋阁, 谭俊杰, 等. 基于数字图像和SDBP 的预混火焰燃烧状态识别[ J]. 南京理工大学学报 ( 自然科学版), 2006, 30( 6): 688- 691.
[10] 隋金雪, 杨莉, 贺永强, 等. 改进的ART 网络在火焰 燃烧状态识别中的应用[ J]. 传感器与微系统, 2007, 26( 5): 90- 93.
[11] 姜仁峰, 卢兵. 实用预测技术[M ]. 哈尔滨: 哈尔 滨船舶工程学院出版社, 1993. 471

Memo

Memo:
-
Last Update: 2012-12-19