高级检索

    仲蔚, 俞金寿. 软测量技术及其在加氢裂化分馏塔中的应用[J]. 华东理工大学学报(自然科学版), 1999, (4): 420-423.
    引用本文: 仲蔚, 俞金寿. 软测量技术及其在加氢裂化分馏塔中的应用[J]. 华东理工大学学报(自然科学版), 1999, (4): 420-423.
    Soft Sensors and Their Applications in Hydrocracking Fractionator[J]. Journal of East China University of Science and Technology, 1999, (4): 420-423.
    Citation: Soft Sensors and Their Applications in Hydrocracking Fractionator[J]. Journal of East China University of Science and Technology, 1999, (4): 420-423.

    软测量技术及其在加氢裂化分馏塔中的应用

    Soft Sensors and Their Applications in Hydrocracking Fractionator

    • 摘要: 在总结现有各种软测量技术的基础上,指出统计分析方法中的部分最小二乘法和神经网络方法中的径向基函数网络,是经实际应用证明有效的方法。提出了一种将PLS和RBFN结合的方法,并将PLS,RBFN,PLS-RBFN3种算法分别用于加氢裂化分馏塔航煤点软测量模型的建立,其泛化结果表明基于PL-SRBFN算法建立的软测量模型具有更好的预测精度。

       

      Abstract: Some of the softsensing techniques used for estimating product quality have been discussed in this paper.Among them,the PLS and RBFN algorithms based on statistical analysis and ANN respectively,are proved to be effective in practical application.Having considered their merits and defects,a combined method of PLS and RBFN (named PLSRBFN algorithm) is presented and used for modelling of jet fuel endpoint in hydrocracking fractionator.Generalization results show that the PLSRBFN algonithm gives more accurate prediction and more reliable extrapolation than the pure PLS and RBFN algorithms.

       

    /

    返回文章
    返回