In order to improve the accuracy of the motor bearing fault diagnosis,a newmethod for fault diagnosis was proposed based on support vector machine optimized by Particle swarm opti- mization algorithm.This paper combined it with local mean decomposition( LMD) to extract the characteristics of the vibration signals of the motor bearing as feature vector to support vector machine. The Particle swarm optimization( PSO) algorithm optimized support vector machine parameter of kernel function parameter and penalty...
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