东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (2): 103-105.DOI: -

• 论著 •    下一篇

PCA-DRBFN模型在精馏塔精苯干点估计中的应用

常玉清;王小刚;王福利   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-02-15 发布日期:2013-06-24
  • 通讯作者: Chang, Y.-Q.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(002013)

PCA-DRBFN model in application to estimating dry point of pure benzene in rectifying tower

Chang, Yu-Qing (1); Wang, Xiao-Gang (1); Wang, Fu-Li (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-02-15 Published:2013-06-24
  • Contact: Chang, Y.-Q.
  • About author:-
  • Supported by:
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摘要： 针对PCA(PrincipalComponentsAnalysis)技术中,由于重叠信息会严重影响主成分的正确提取这一问题,提出了一种改进的数据降维处理方法·首先,利用标准化变量间的相关系数大小找到重叠信息·然后,将重叠信息进行加权综合·最后,利用改进的数据降维处理方法以及分布式网络技术,建立了基于PCA DRBFN(PrincipalComponentsAnalysis DistributedRadialBasisFunctionNetwork)的软测量模型,并将其应用到某钢厂的精苯精馏过程,对精苯干点进行估计·通过仿真证明,所建立的模型具有较好的泛化效果·

关键词: 软测量, 主成分分析(PCA), 数据降维, 重叠信息, 精苯精馏, 径向基网络

Abstract: An improved data dimension decreasing method is proposed to reduce the overlapped information in multivariable system, since a number of overlapped information will affect greatly the correct pick-up of PCs (Principal Components) in PCA (Principal Components Analysis). The overlapped information can be found using the correlation coefficients between standardized variables, then they are weighted and integrated altogether. An PCA-DRBFN (Principal Components Analysis-Distributed Radial Basis Function Network) based soft-sensing model is thus developed using the improved method. The model has been applied to the pure benzene rectifying process in a steel plant to estimate the dry point of pure benzene. Simulation results showed that the proposed method and developed model are both favorably versatile.

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