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ji yu ga-pso-bp de fa dian ji zu gu zhang zhen duan
Author(s): 
Pages: 1214-1217
Year: Issue:  7
Journal: East China Electric Power

Keyword:  BP neural networkGA-PSO algorithmgenerator unitfault diagnosis;
Abstract: This paper introduces the GA(genetic algorithm)-PSO(particle swarm optimization) algorithm,which can perform the GA operations of selection,crossover and mutation,and expounds the parameter optimization process applied to BP neural network.Then this GA-PSO-BP neural network is applied in fault diagnosis of generator units,and the simulation test has been conducted on rotor test-bed,which shows that GA-PSO-BP is superior to conventional BP and PSO-BP in training speed and diagnosis accuracy.
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