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- W2348275514 abstract "The article makes the improvement to the basic Particle Swarm Optimization (PSO) algorithm, and unifies the improved Particle Swarm Optimization algorithm and erroneous Back Propagation (BP) algorithm, it makes a mixed algorithm to use in training the artificial neural network, carrying 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 indicated that, the improved PSO-BP mixed algorithm can distinguish the common motor failures effectively with quick convergence rate and high diagnosis precision." @default.
- W2348275514 created "2016-06-24" @default.
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- W2348275514 date "2007-01-01" @default.
- W2348275514 modified "2023-09-28" @default.
- W2348275514 title "Research for Motor Failure Diagnosis Based on Improved Particle Swarm Mixed Algorithm" @default.
- W2348275514 hasPublicationYear "2007" @default.
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