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Aiming at the problems of difficult fault location and unclear influence relationship in complex large-scale electronic equipment network systems such as radar, a fault location method based on fuzzy neural network is adopted, which improves the speed and accuracy of network fault location. Firstly, the theory of fuzzy membership degree and fuzzy neuron is introduced, then the network monitoring information is fuzzified based on fuzzy theory, and the fuzzy information is trained and learned by using the neural network model. And the parameter training reach the set expected error of 0.01.Finally, the trained model is used to verify two groups of randomly selected network failure instances. It takes 3.5s for the software to perform a single diagnosis. The results show that the diagnosis method based on fuzzy neural network can better solve the problems of complex network fault coupling and unclear relationship between fault phenomenon and fault cause, which is of great significance to the rapid elimination and recovery of network faults.