Research on pump fault diagnosis based on pso-bp neural network algorithm

In the research of pump fault diagnosis, the traditional BP neural network algorithm has the problems of slow convergence and unstable results, while the traditional PSO algorithm has the problems of parameter selection and stability. In view of the above problems, a PSO-BP neural network algorithm is proposed, and the adjustment rules of inertia weight and learning factor of PSO algorithm are designed, and the output layer weight coefficient and hidden layer weight coefficient of BP neural network algorithm are adjusted. Simulation test results show that pso-bp algorithm can effectively diagnose the fault of the pump. PSO-BP algorithm is advanced in pump fault diagnosis.