稀土萃取过程组分含量的神经网络软测量方法

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稀土萃取过程组分含量的神经网络软测量方法

杨辉, 柴天佑

文章导航 > 自动化学报 > 2006 > 32(4): 489-495

杨辉, 柴天佑. 稀土萃取过程组分含量的神经网络软测量方法. 自动化学报, 2006, 32(4): 489-495.

引用本文:

杨辉, 柴天佑. 稀土萃取过程组分含量的神经网络软测量方法. 自动化学报, 2006, 32(4): 489-495.

YANG Hui, CHAI Tian-You. Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Proce. ACTA AUTOMATICA SINICA, 2006, 32(4): 489-495.

Citation:

YANG Hui, CHAI Tian-You. Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Proce. ACTA AUTOMATICA SINICA, 2006, 32(4): 489-495.

杨辉, 柴天佑. 稀土萃取过程组分含量的神经网络软测量方法. 自动化学报, 2006, 32(4): 489-495.

引用本文:

杨辉, 柴天佑. 稀土萃取过程组分含量的神经网络软测量方法. 自动化学报, 2006, 32(4): 489-495.

YANG Hui, CHAI Tian-You. Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Proce. ACTA AUTOMATICA SINICA, 2006, 32(4): 489-495.

Citation:

YANG Hui, CHAI Tian-You. Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Proce. ACTA AUTOMATICA SINICA, 2006, 32(4): 489-495.

稀土萃取过程组分含量的神经网络软测量方法

杨辉,
柴天佑

1.
School of Electronics and Electrical Engineering, East China Jiaotong University, Nanchang 330013
2.
Research Center of Automation, Northeastern University, Shenyang 110004

通讯作者:
杨辉

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- 文章访问数: 3386
- HTML全文浏览量: 119
- PDF下载量: 2638
- 被引次数: 0
出版历程
- 收稿日期: 2005-01-24
- 修回日期: 2006-02-16
- 刊出日期: 2006-07-20

Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Proce

1.
School of Electronics and Electrical Engineering, East China Jiaotong University, Nanchang 330013;
2.
Research Center of Automation, Northeastern University, Shenyang 110004

More Information

Corresponding author: YANG Hui

摘要: Throught fusion of the mechanism modeling and the neural networks modeling, a component content soft-sensor, which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system, is proposed to solve the problem that the component content in countercurrent rare-earth extraction process is hardly measured on-line. An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.
- Rare-earth /
- countercurrent extraction /
- soft-sensor /
- equilibrium calculation model /
- neural networks
Abstract: Throught fusion of the mechanism modeling and the neural networks modeling, a component content soft-sensor, which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system, is proposed to solve the problem that the component content in countercurrent rare-earth extraction process is hardly measured on-line. An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.
- Rare-earth /
- countercurrent extraction /
- soft-sensor /
- equilibrium calculation model /
- neural networks

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文章访问数: 3386
HTML全文浏览量: 119
PDF下载量: 2638
被引次数: 0

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