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- W2360621104 abstract "In this paper,a BP neural network model based on improved PSO was presented and applied it for bearing fault diagnosis,combined with PSO Algorithm for global optimization ability and BP neural network advantages of local search,the model effectively prevented the network into a local minimum,at the same,time guaranteed the accuracy of diagnosis.Simulation results showed that the locomotive rolling bearings was effectively diagnosed.Compared with the conventional BP neural network model,this method not only improvesd the convergence speed,but also improved the prediction accuracy." @default.
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- W2360621104 date "2012-01-01" @default.
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- W2360621104 title "Application of BP neural network based on improved PSO Algorithm in fault diagnosis of locomotive rolling bearing" @default.
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