摘要
讨论了基于炉内辐射图像的燃烧诊断方法 ,并根据采集的单角燃烧器火焰图像 ,讨论了特征值的意义和提取方法 ;设计并训练了 Kohonen自组织神经网络和 BP神经网络分别实现燃烧状态判断和预测等燃烧诊断功能。图 8参 1
The method of combustion diagnosis based on flame image inside furnace is discussed in this article. Character value is distilled from the original image. Kohonen Neural Network is designed and trained to discern combustion state at the present time and BP Neural Network is designed and trained to forecast combustion state on hand. Figs 8 and refs 13.
出处
《动力工程》
CSCD
北大核心
2003年第3期2420-2427,2419,共9页
Power Engineering
基金
教育部高等学校骨干教师资助计划
关键词
图像处理
人工神经网络
燃烧诊断
image process
artificial neural network
combustion diagnosis
