Abstract
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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Taouali, O., Jaffel, I., Lahdhiri, H. et al. New fault detection method based on reduced kernel principal component analysis (RKPCA). Int J Adv Manuf Technol 85, 1547–1552 (2016). https://doi.org/10.1007/s00170-015-8059-1
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DOI: https://doi.org/10.1007/s00170-015-8059-1