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- W2375423339 abstract "For the failures of the motor,the method of failures diagnosis is studied by using the neural network. Making the improvement to the basic Particle Swarm Optimization(PSO) algorithm,and then it is used in training the Back Propagation(BP) neural network to carry out failure diagnosis for the motor rotor.By withdrawing motor rotor' s vibration frequency spectrum component as the neural network' s training sample,inputs the failure information data to the neural network trained well already,then diagnoses the failure type through the output result.The simulation result indicates that,the improved PSO algorithm used in training BP neural network can distinguish the common motor failures effectively with quick convergence rate and high diagnosis precision." @default.
- W2375423339 created "2016-06-24" @default.
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- W2375423339 date "2010-01-01" @default.
- W2375423339 modified "2023-09-25" @default.
- W2375423339 title "Research for Motor Failure Diagnosis Based on Improvement Particle Swarm Optimization Algorithm" @default.
- W2375423339 hasPublicationYear "2010" @default.
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