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基于稳健关联向量回归的黑液波美度软测量
引用本文:杨飚,张曾科. 基于稳健关联向量回归的黑液波美度软测量[J]. 清华大学学报(自然科学版), 2007, 47(Z2): 1840-1843
作者姓名:杨飚  张曾科
作者单位:清华大学,自动化系,北京,100084
摘    要:针对造纸工业碱回收蒸发工段黑液波美度不易在线实时测量的现状,提出一种基于稳健关联向量回归的软测量方法,建立黑液波美度的软测量模型,实现黑液波美度的在线测量。稳健关联向量回归方法通过最大化一个建立在稳健子集上的似然函数得到模型的参数,同时保证回归的稳健性。构造了迭代算法来计算稳健关联向量回归,在优化超参数的同时,寻找稳健子集。实验结果表明,用该方法建立波美度软测量模型不仅是可行的和有效的,而且能够克服异常点的影响。

关 键 词:软测量  关联向量机  稳健回归  黑液  波美度
文章编号:1000-0054(2007)S2-1840-04
修稿时间:2007-04-12

Soft sensor for measuring Baume degree of black liquor based on robust relevance vector regression
YANG Biao,ZHANG Zengke. Soft sensor for measuring Baume degree of black liquor based on robust relevance vector regression[J]. Journal of Tsinghua University(Science and Technology), 2007, 47(Z2): 1840-1843
Authors:YANG Biao  ZHANG Zengke
Abstract:Real-time online measurement of the Baume degree of black liquor of in the alkali recover process in the paper making industry is very difficult.A soft sensor method for Baume degree was developed based on the robust relevance vector regression(RRVR) method for online measurements.The method calculates the model weights and ensures the robustness of the regression algorithm by maximizing the likelihood function defined over a robust subset which is assumed to include the principal data without outliers.The iterative regression algorithm optimizes the hyperparameters and simultaneously selects the robust subset.Test results show that the soft sensor for measuring the Baume degree of black liquor is effective but can resist outliers.
Keywords:soft sensor  relevance vector machine  robust regression  black liquor  Baume degree
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