Research on Fault Diagnosis of Gearbox Based on Particle Swarm Optimization Algorithm

In this paper, base on studying learning rate of PSO, in order to adjust the social part and the cognition part proportions, learning rate change linearly with velocity-formula evolving is made; the BP neural network PSO training heavily increases the congruence speed of the networks to avoid involving local extremum. According to actual data of two levels gearbox in vibration lab, signals are analyzed and their feature values are abstracted. By applying trained BP neural networks to diagnosing gearbox faults got sound effect