Improved multi-scale kernel principal component analysis and its application for fault detection

► We combine the Kronecker production, the wavelet decomposition technique, the sliding median filter technique are combined for monitoring purpose. ► We remove the disturbances and noises. ► We analyze the dynamical data at different scales.