An efficient Neuro-Fuzzy approach to nuclear power plant transient identification

► We investigate a Neuro-Fuzzy modeling tool use for able transient identification. ► The prelusive transient type identification is done by an artificial neural network. ► After, the fuzzy-logic system analyzes the results emitting reliability degree of it. ► The research support was made in a PWR simulator at the Brazilian Nuclear Engineering Institute. ► The results show the potential to help operators' decisions in a nuclear power plant.