| 基于支持向量机的炉膛火焰灭火判别方法研究 |
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| 引用本文： | 盛杨,刘禾.基于支持向量机的炉膛火焰灭火判别方法研究[J].现代电力,2007,24(2):66-69. |
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| 作者姓名： | 盛杨 刘禾 |
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| 作者单位： | 华北电力大学控制科学与工程学院,北京,102206 |
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| 摘 要： | 针对炉膛火焰图像监测系统存在的灭火判别问题,提出了一种炉膛火焰灭火判别方法。该方法通过对火焰图像的分析,提取了用于灭火判别的两个特征值,然后对这个特征空间使用支持向量机进行识别分类,结果表明特征量提取是成功的。该判别方法能够正确对火焰图像进行灭火判别,正确率很高,据此可知支持向量机方法用于灭火判别是可行的。
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| 关 键 词： | 炉膛火焰 火焰图像 灭火判别 支持向量机 特征值 |
| 文章编号： | 1007-2322(2007)02-0066-04 |
| 修稿时间： | 2006年11月15 |
Furnace Outfire Judgement Based on Support Vector Machine |
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| Sheng Yang,Liu He.Furnace Outfire Judgement Based on Support Vector Machine[J].Modern Electric Power,2007,24(2):66-69. |
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| Authors: | Sheng Yang Liu He |
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| Abstract: | To solve the problem of judging outfire in flame image monitoring system, the way of judging furnace outfire is suggested. Two features of the flame image are extracted through the analysis of flame images. Their feature space is classified with the Support Vector Machine. Results show that the feature extraction is correct. This method can correctly judge the combustion states. Support Vector Machine is effective for outfire judgment. |
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| Keywords: | boiler furnace flame flame image outfire judgment Support Vector Machine(SVM) feature |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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