| 基于BP神经网络的电厂锅炉飞灰含碳量预测 |
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| 引用本文： | 方湘涛,叶念渝. 基于BP神经网络的电厂锅炉飞灰含碳量预测[J]. 华中科技大学学报(自然科学版), 2003, 31(12): 75-77 |
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| 作者姓名： | 方湘涛 叶念渝 |
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| 作者单位： | 华中科技大学控制科学与工程系 |
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| 基金项目： | 国家自然科学基金资助项目 ( 60 0 740 3 3 ) |
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| 摘 要： | 对影响锅炉飞灰含碳量的主要因素进行了讨论，提出利用BP神经网络对特定机组的飞灰含碳量进行短期预测的一种实用模型，并应用于湖南某电厂的应用软件中，结果表明，该方法是有效的．
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| 关 键 词： | 电厂 锅炉 飞灰 含碳量 BP神经网络 预测模型 设计 |
| 文章编号： | 1671-4512(2003)12-0075-03 |
| 修稿时间： | 2003-10-13 |
A system for forecasting the unburned carbon of the fly ash from utility boilersbased on BP artificial neural netwoks |
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| Fang Xiangtao Ye Nianyu. A system for forecasting the unburned carbon of the fly ash from utility boilersbased on BP artificial neural netwoks[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2003, 31(12): 75-77 |
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| Authors: | Fang Xiangtao Ye Nianyu |
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| Affiliation: | Fang Xiangtao Ye Nianyu |
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| Abstract: | In order to solve the real-time calculation of the unburned carbon in the fly ash from a utility boiler, BP artificial neural network based on the on-line detected data, such as coal ingredients of industrial analysis, excess air ratio, boiler's load, and so on, was applied to short-term forecasting. The result of typical calculation examples in the software in one of the utility boilers in Hunan province showed that the present method was effective. |
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| Keywords: | utility boiler unburned carbon content BP artificial neural network |
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