A KPCA based fault detection approach for feed water treatment process of coal-fired power plant

KPCA is a good choice to deal with the nonlinearity of the industrial processes. This paper focuses on KPCA based fault detection and its application issues. A KPCA based fault detection approach and its application procedure are firstly investigated. Then, the proposed approach is applied to a feed water treatment process in a coal-fired power plant, which in fact is a typical nonlinear process. The real operation data of the process is collected for validation research. The results of the fault detection approach with respect to different situations are presented to convince its validity and applicability. The design issues of the corresponding detection software platform are comprehensively discussed as well.