Improved dynamic kernel principal component analysis for fault detection

•A novel fault detection algorithm is proposed for dynamic nonlinear processes.•The redundancy problem of the observation variable is solved by FVS in the proposed algorithm.•The computational complexity problem caused by the kernel matrix and time-lagged matrix can be solved appropriately.•The proposed FVS–DKPCA algorithm has better monitoring performance than conventional algorithm.