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稀土萃取过程组分含量的RBF软测量建模
引用本文:洛琳,于建顺,余丹. 稀土萃取过程组分含量的RBF软测量建模[J]. 数字社区&智能家居, 2010, 0(5): 1168-1170
作者姓名:洛琳  于建顺  余丹
作者单位:华东交通大学电气与电子工程学院,江西南昌330013
摘    要:稀土萃取分离过程的自动控制一直是稀土工业急待解决的关键难题,要实现稀土萃取分离过程的自动控制,首先必须解决串级萃取槽中各稀土组分含量的在线检测,而传统的检测又有很大的问题,软测量技术在稀土萃取过程控制中的应用研究开始活跃起来。该文是基于RBF网络的稀土萃取过程组分含量进行软测量建模的研究。

关 键 词:稀土串级萃取  软测量  曲F神经网络

Rare-earth Extraction Process Components for RBF Modeling of Soft Sensor
LUO Lin,YU Jian-shun,YU Dan. Rare-earth Extraction Process Components for RBF Modeling of Soft Sensor[J]. Digital Community & Smart Home, 2010, 0(5): 1168-1170
Authors:LUO Lin  YU Jian-shun  YU Dan
Affiliation:School of Electrical and Electronic Engineering;ECJTU;Nanchang 330013;China
Abstract:The automatic control of the process of rare earth extraction separation always is a key problem of rare earth industry that must be solved,in order to achieve the rare earth extraction process automation,we must first solve the cascade extraction in the tank online testing of components,but traditional testing has a lot of problems,the study of the soft-sensor technology in the rare earth extraction pro-cess control begins activelly again. Based on the RBF network of rare-earth extraction process component...
Keywords:series extraction of rare earth  soft sensor  RBF neural network  
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