期刊
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
卷 40, 期 4, 页码 1289-1296出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0142331216679250
关键词
KPCA; RKPCA; fault detection isolation; partial KPCA
In this article, we suggest an extension of our proposed method in fault detection called Reduced Kernel Principal Component Analysis (RKPCA) (Taouali et al., 2015) to fault isolation. To this end, a set of structured residues is generated by using a partial RKPCA model. Furthermore, each partial RKPCA model was performed on a subset of variables to generate structured residues according to a properly designed incidence matrix. The relevance of the proposed algorithm is revealed on Continuous Stirred Tank Reactor.
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