期刊
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
卷 85, 期 5-8, 页码 1547-1552出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00170-015-8059-1
关键词
KPCA; RKPCA; PCs; SPE; Fault detection
This paper proposes a new method for fault detection using a reduced kernel principal component analysis (RKPCA). The proposed RKPCA method consists on approximating the retained principal components given by the KPCA method by a set of observation vectors which point to the directions of the largest variances with the retained principal components. The proposed method has been tested on a chemical reactor and the results were satisfactory.
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