首页> 外文会议>Power and Energy Engineering Conference (APPEEC), 2010 >Judging Furnace Outfire Based on Furnace Operation Conditions on6; Support Vector Machine
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Judging Furnace Outfire Based on Furnace Operation Conditions on6; Support Vector Machine

机译:根据炉子运行条件判断炉子着火情况;支持向量机

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摘要

A method of judging furnace burning outfire based on flame image information was studied. Three feature vectors were extracted from furnace flame images. A method of using Support Vector Machine combined with furnace operation conditions to judge furnace outfire was designed. According to signals of coal mill outage and coal valve switch, burner outfire was judged when powder burner off. And combustion states were classified by Support Vector Machine when powder is being sprayed. The method is simple, convenient and practical and has high correct classification rate.
机译:研究了一种基于火焰图像信息的炉烧失火判断方法。从炉膛火焰图像中提取了三个特征向量。设计了一种结合支持向量机和炉膛运行状况判断炉膛失火的方法。根据磨煤机停电和煤阀开关的信号,判断喷粉炉熄火时喷炉烧坏。喷涂粉末时,燃烧状态由支持向量机进行分类。该方法简单,方便,实用,正确率高。

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