| RBF神经网络在超高压釜内油温软测量中的应用 |
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| 引用本文： | 刘翠玲,孙晓荣,张旻扬. RBF神经网络在超高压釜内油温软测量中的应用[J]. 仪表技术与传感器, 2005, 0(4): 11-13 |
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| 作者姓名： | 刘翠玲 孙晓荣 张旻扬 |
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| 作者单位： | 1. 北京工商大学信息工程学院,北京,100037
2. 大庆石油公司,黑龙江,大庆,163318 |
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| 摘 要： | 依据200MPa超高压釜内介质温度间接测量的实际问题，通过研究RBF神经网络的特点，建立了超高压釜内油温的RBF神经网络软测量模型，并进行了仿真实验。结果表明：该方法可实现超高压釜内介质温度的软测量，为其进一步地推断控制奠定了基础。
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| 关 键 词： | 软测量 RBF神经网络 高温超高压 模型 |
| 文章编号： | 1002-1841(2005)04-0011-03 |
| 修稿时间： | 2004-06-23 |
Application of RBF Neural Network in Soft Measurement of Oil Temperature in Super Pressure Kettle |
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| LIU Cui-ling,SUN Xiao-rong,ZHANG Min-yang. Application of RBF Neural Network in Soft Measurement of Oil Temperature in Super Pressure Kettle[J]. Instrument Technique and Sensor, 2005, 0(4): 11-13 |
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| Authors: | LIU Cui-ling SUN Xiao-rong ZHANG Min-yang |
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| Affiliation: | LIU Cui-ling~1,SUN Xiao-rong~1,ZHANG Min-yang~2 |
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| Abstract: | Based on the reality of indirect measurement of media temperature in the 200 MPa super pressure kettle, the characteristics of RBF neural networks were studied and the model for soft measurement system in super high pressure kettle was built. The simulation experiment was finished, the result shows this method can realize the soft measurement of media temperature in the kettle and makes a base for more advanced adjustment control. |
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| Keywords: | Soft Measurement RBF Neural Networks High Temperature and Super Pressure Model |
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