Application of PSO-BP network model in the fault diagnosis of plunger pump
Wang Dengming;School of Mechanical Engineering,Southeast University;
For the shortcomings of BP neural network, particle swarm optimization algorithm is introduced into neural network, and particle swarm optimization is applied to optimize initial weights and thresholds of neural network. Finally, the PSO-BP network diagnosis model and BP neural network diagnosis model based on the plunger pump fault diagnosis are established respectively, and the classification accuracy and iterative convergence speed of the two models are compared.. Through the experiment, it is proved that the performance of the PSO-BP network in the fault diagnosis of plunger pump is better than the BP neural network.
【CateGory Index】： TP18