| 基于模糊模式与火焰图像特征量的燃烧状态识别方法 |
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| 引用本文： | 林彬,马增益,王飞,严建华,白卫东,罗娅,岑可法. 基于模糊模式与火焰图像特征量的燃烧状态识别方法[J]. 热力发电, 2004, 33(10): 19-21 |
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| 作者姓名： | 林彬 马增益 王飞 严建华 白卫东 罗娅 岑可法 |
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| 作者单位： | 浙江大学,浙江,杭州,310027 |
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| 基金项目： | 国家自然科学基金资助项目 (N50 1 0 60 1 5) |
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| 摘 要： | 通过对火焰图像进行分析，提取出火焰亮度、火焰面积、质心偏移距离和圆形度等7个特征量，应用模糊模式建立识别模型，根据最大隶属度判别火焰的燃烧状态。模型识别结果表明，此方法识别准确率高，计算速度快，适合实际应用。
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| 关 键 词： | 火焰图像 特征量 圆形 质心 模糊模式 计算速度 模型识别 识别方法 亮度 准确率 |
| 文章编号： | 1002-3364(2004)10-0019-03 |
A METHOD FOR RECOGNIZING FLAME COMBUSTION STATUS BASED ON FUZZY MODE AND FLAME IMAGE EIGENVECTOR |
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| LIN Bin,MA Zengyi,WANG Fei. A METHOD FOR RECOGNIZING FLAME COMBUSTION STATUS BASED ON FUZZY MODE AND FLAME IMAGE EIGENVECTOR[J]. Thermal Power Generation, 2004, 33(10): 19-21 |
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| Authors: | LIN Bin MA Zengyi WANG Fei |
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| Abstract: | Through analysis of flame image, seven eigenvectors, such as flame brightness, flame area, shifting distance of mass center and flame roundness etc. have been extracted, and a recognizing model being established by using the fuzzy mode to judge whether the combustion status of flame to be stable on the basis of max. subordinateness. Results of experiment show that the said method has very high recognition accuracy and rapid calculation speed, being suitable for practical application. |
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| Keywords: | fuzzy mode status recognition flame image eigenvector |
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