| 基于SVM的对冲燃煤锅炉NOx排放特性 |
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| 引用本文： | 郭建民,刘石,姜凡,李志宏.基于SVM的对冲燃煤锅炉NOx排放特性[J].燃烧科学与技术,2006,12(3):243-247. |
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| 作者姓名： | 郭建民 刘石 姜凡 李志宏 |
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| 作者单位： | 1. 中国科学院工程热物理研究所,北京,100080;中国科学院研究生院,北京,100039
2. 中国科学院工程热物理研究所,北京,100080 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 提出了一种基于支持向量机理论在燃煤锅炉NOx排放预测的方法．对某台300 MW旋流对冲燃煤电站锅炉进行了多工况热态试验,考虑温度对NOx生成的影响,利用火焰诊断系统对炉膛温度场进行了测量．应用支持向量机理论建立了NOx排放特性模型并进行了校验．通过同神经网络模型比较,证实了该模型泛化能力强、预测精度高的优点．该模型可为电厂锅炉通过燃烧调整降低NOx排放提供参考．
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| 关 键 词： | 锅炉 氮氧化物排放 电荷耦合器 支持向量机 |
| 文章编号： | 1006-8740(2006)03-0243-05 |
| 修稿时间： | 2005年12月19 |
NOx Emission Characteristics in Opposed Firing Boiler Based on SVM |
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| GUO Jian-min,LIU Shi,JIANG Fan,LI Zhi-hong.NOx Emission Characteristics in Opposed Firing Boiler Based on SVM[J].Journal of Combustion Science and Technology,2006,12(3):243-247. |
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| Authors: | GUO Jian-min LIU Shi JIANG Fan LI Zhi-hong |
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| Abstract: | An SVM (support vector machines) model was developed in this study for predicting NOx emission from combustion in coal fired boilers. Experiments were carried out over a range of operating conditions for a 300 MW swirl opposite-firing boiler. The effect of temperature on NOx emission was investigated and temperature profiles were measured by an optical combustion diagnosis system. The new model was evaluated based on the data of the temperature measurements and other relevant parameters. Test results show that, compared with the Artificial Neural Network model, our SVM model can be more general and accurate. Therefore, the characteristics of NOx emission can be analyzed by the SVM model with special advances. |
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| Keywords: | boiler NOx emission charge coupled device support vector machines |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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