Improved Kernel PCA Based on Wavelet for Fault Detection

KPCA is a promising method for solving nonlinear system in chemical process fault monitoring. In this paper, in order to improve the accuracy of KPCA for fault detection, a new method combined with wavelet is developed. Simulation results are given to show that the proposed approach has superior to KPCA in process monitoring performance.