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.
|Number of pages||8|
|Journal||Transactions of the Institute of Measurement and Control|
|Publication status||Published - 1 Feb 2018|
- fault detection isolation
- partial KPCA
ASJC Scopus subject areas