文章基本信息

标题：Study on small multiplicative fault detection using Canonical Correlation Analysis with the local approach
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作者：Zhiwen Chen ; Zhiwen Chen ; Kai 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：1414-1419
DOI：10.1016/j.ifacol.2015.09.723
语种：English
出版社：Elsevier
摘要：Abstract Canonical correlation analysis(CCA) could be utilized for analyzing a linear static process when the input-output relationship is explicitly existing. Based on the canonical variates obtained by the CCA method, a novel fault detection approach can be designed by resembling the principal component analysis (PCA) and the partial least squares (PLS) approaches. However, in this paper, the traditional CCA approach will be shown insensitive to one kind of fault, i.e., multiplicative fault (change). Based on this motivation, a modified statistic based on the local approach is introduced to help CCA approach further improve its acceptance for detecting multiplicative changes in the static processes. The new method will be verified through its application to a continuous stirred tank heater (CSTH).
关键词：KeywordsFault detectionCanonical correlation analysisMultivariate statistical analysisLocal approach