Wavelet Neural Network Based on Modified Particle Swarm Optimization and Its Application in Fault Diagnosis

A compound model PSO with stochastic inertia weight is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to choosing tested position of gearbox. It is an available approach to solve the problems on extracting fault characteristic values and choosing appropriate tested positions in fault diagnosis.