| 基于炉内火焰图像的燃烧诊断 |
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| 引用本文： | 卫成业,严建华,商敏儿,马增益,王飞,王新军,岑可法.基于炉内火焰图像的燃烧诊断[J].动力工程,2003,23(3):2420-2427,2419. |
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| 作者姓名： | 卫成业 严建华 商敏儿 马增益 王飞 王新军 岑可法 |
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| 作者单位： | 浙江大学,热能工程研究所,杭州,310027 |
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| 基金项目： | 教育部高等学校骨干教师资助计划 |
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| 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8参13
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| 关 键 词： | 图像处理 人工神经网络 燃烧诊断 |
| 文章编号： | 1000-6761(2003)03-2420-08 |
Research on Combustion Diagnosis Based on Flame Image inside Furnace |
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| WEI Cheng ye,YAN Jian hua,SHANG Min er,MA Zeng yi,WANG Fei,WANG Xin jun,CEN Ke fa.Research on Combustion Diagnosis Based on Flame Image inside Furnace[J].Power Engineering,2003,23(3):2420-2427,2419. |
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| Authors: | WEI Cheng ye YAN Jian hua SHANG Min er MA Zeng yi WANG Fei WANG Xin jun CEN Ke fa |
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| Abstract: | 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. |
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| Keywords: | image process artificial neural network combustion diagnosis |
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