Fault diagnosis of general turret electrically controlled system based on fuzzy neutral network optimized by genetic algorithm

After the fault character parameter of electrically control system was fuzzy processed as the learning swatch of neural network, the paper search their network weights and threshold as the initial weights and initial threshold using 3-layer fuzzy neutral network with the training function of the gradient descent algorithm taking momentum optimized by genetic algorithm, classify the fault pattern of electrically control system using fuzzy algorithm, reform the astringency of diagnosis model. The diagnosis result is exact and credible. The network model optimized by genetic algorithm has preferable robustness and fault tolerant ability.