文章基本信息

标题：Directional KPLS for Fault Detection
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作者：Yunpeng Fan ; Rongrong Sun ; Yingwei Zhang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：21
页码：613-618
DOI：10.1016/j.ifacol.2015.09.594
语种：English
出版社：Elsevier
摘要：In this paper, a directional kernel partial least squares (DKPLS) monitoring method is proposed. The contributions are as follows: (1) DKPLS algorithm is proposed to extract the output-relevant variables. A more direct relationship between the input and output variables is established based on the proposed method. (2) based on the proposed DKPLS algorithm, a process monitoring method is proposed. Faults are monitored by the proposed DKPLS monitoring method more accurately than KPLS monitoring method. The DKPLS monitoring method is used to monitor electro-fused magnesia furnace. The experiment results show the effectiveness of the proposed DKPLS monitoring method. Key Words: Directional Kernel Partial Least Squares (DKPLS); Output-relevant Variables; Residual Subspace; Process Monitoring.
关键词：Directional Kernel Partial Least Squares (DKPLS);Output-relevant Variables;Residual Subspace;Process Monitoring