| 基于多采样率数据的软测量模型 |
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| 引用本文： | 常玉清,王福利. 基于多采样率数据的软测量模型[J]. 系统仿真学报, 2001, 13(Z1): 1-2 |
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| 作者姓名： | 常玉清 王福利 |
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| 作者单位： | 东北大学信息学院, |
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| 摘 要： | 提出了一种利用具有不同采样率的过程数据建立软测量模型的方法.本文采用主成分分析技术对过程数据降维,然后用降维后的数据训练神经网络,建立软测量模型.通过仿真证明,该软测量模型结构简单,获得了过程输出变量在非采样时刻的估计值.
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| 关 键 词： | 多采样率 软测量 PCA RBF神经网络 CSTR |
| 文章编号： | 1004-731X(2001)0A-0001-02 |
| 修稿时间： | 2001-04-30 |
The Soft Sensor Based on Multi-rate Data |
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| CHANG Yu-qing,WANG Fu-li. The Soft Sensor Based on Multi-rate Data[J]. Journal of System Simulation, 2001, 13(Z1): 1-2 |
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| Authors: | CHANG Yu-qing WANG Fu-li |
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| Abstract: | This article proposes a method to build soft sensor based on multi-rate data. Then, uses PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor. The simulation shows that this model has a simple structure and can obtain estimated value of process variables at non-sample time. |
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| Keywords: | multi-rate soft sensor PCA RBF NN CSTR |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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