文章基本信息

标题：Phase partition for nonlinear batch process monitoring
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作者：Jingxiang Liu ; Tao Liu ; Jie Zhang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：7
页码：1181-1186
DOI：10.1016/j.ifacol.2016.07.367
语种：English
出版社：Elsevier
摘要：A window-based step-wise sequential phase partition method is proposed for monitoring nonlinear batch processes with multiphase operations. The three-dimensional batch data are unfolded in the batch-wise direction to facilitate establishing the kernel principle component analysis (KPCA) models. A moving window is introduced to maintain the kernel parameters unchanged for computation while preserving the time sequence of different phases, thus capable of significantly reducing the storage space of kernel matrices and the computation complexity. A numerical case and a penicillin fermentation process are used to demonstrate the effectiveness and merit of the proposed method.
关键词：batch processphase partitionkernel principle component analysis (KPCA)moving window