| 基于神经网络的火电厂烟气含氧量软测量 |
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| 引用本文： | 韩璞,王东风,翟永杰.基于神经网络的火电厂烟气含氧量软测量[J].信息与控制,2001,30(2):189-192. |
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| 作者姓名： | 韩璞 王东风 翟永杰 |
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| 作者单位： | 华北电力大学动力系 |
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| 摘 要： | 介绍了测量仪表及过程控制中的软测量技术.
讨论了软测量技术的有关问题和开发策略.提出了基于一种复合型神经网络的火电厂烟气含
氧量软测量模型,并且用它对火电厂烟气含氧量的软测量进行了建模仿真验证,现场不同负荷
下的实测数据仿真验证结果表明了软测量方法的有效性.最后给出了应用前景展望.
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| 关 键 词： | 烟气含氧量 软测量 神经网络 |
| 文章编号： | 1002-0411(2001)02-189-04 |
SOFT-SENSING OF O_2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS |
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| HAN Pu,WANG Dong-feng,ZHAI Yong-jie.SOFT-SENSING OF O_2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS[J].Information and Control,2001,30(2):189-192. |
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| Authors: | HAN Pu WANG Dong-feng ZHAI Yong-jie |
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| Abstract: | This paper presents the soft-sensing technology and problems related with its application in industry. Soft sensor model based on feedforward neural network for O_2 content in flue gas of power plant is put forward, a simulation of O_2 content in flue gas of power plant is given. The results show that soft sensor technique is effective. |
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| Keywords: | coal-fired power plant O_2 content in flue gas soft sensor neural networks |
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