关键词: 径向神经网络, 小波变换, 故障诊断, 粒子群算法

Abstract: Because the motor can’t take action until the measured parameters meet or exceed the threshold, which lack of prediction control, a Radial Basis Function（RBF） Neural Network is designed based on Particle Swarm Optimization（PSO）. Using strong time-frequency decomposition capabilities and outstanding singularity detection capability of wavelet transform, the eigenvector of fault can be gained；the connection weight is optimized by RBF Neural Network with PSO, which makes the Neural Network convergence faster and training shorter. According to simulation of fault by motor, fault is recognized by PSO-RBF Neural Network.

Key words: Radial Basis Function（RBF） Neural Network, wavelet transform, fault diagnosis, Particle Swarm Optimization（PSO）