Fault detection and diagnosis for non-Gaussian stochastic distribution systems with time delays via RBF neural networks

► We introduce RBF neural network to approximate the output PDF of system. ► RBF neural network expansions represent the dynamics weighting systems. ► A adaptive observer-based fault detection and diagnosis algorithm are presented. ► Stability and Convergency analysis is performed. ► A more sensitive fault detection and diagnosis method can be given.