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    王华忠, 俞金寿. 基于核函数主元分析的软测量建模方法及应用[J]. 华东理工大学学报(自然科学版), 2004, (5): 567-570.
    引用本文: 王华忠, 俞金寿. 基于核函数主元分析的软测量建模方法及应用[J]. 华东理工大学学报(自然科学版), 2004, (5): 567-570.
    WANG Hua-zhong, YU Jin-shou~*. Soft Sensor Modeling and Application Based on Kernel Function Principal Component Analysis[J]. Journal of East China University of Science and Technology, 2004, (5): 567-570.
    Citation: WANG Hua-zhong, YU Jin-shou~*. Soft Sensor Modeling and Application Based on Kernel Function Principal Component Analysis[J]. Journal of East China University of Science and Technology, 2004, (5): 567-570.

    基于核函数主元分析的软测量建模方法及应用

    Soft Sensor Modeling and Application Based on Kernel Function Principal Component Analysis

    • 摘要: 提出了基于核函数主元分析(PCA)方法提取变量的特征信息以有效处理非线性数据,并在此基础上进行软测量建模的方法。利用该方法建立了工业萘初馏塔酚油含萘量软测量模型,工业应用结果表明了该方法的有效性和优越性。

       

      Abstract: A novel method is proposed in developing soft sensor based on the nonlinear principal components obtained from kernel principal component analysis (PCA) technique to deal with the nonlinear characteristics of data. Field application shows that the proposed method is effective and superior to traditional methods.

       

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