Fault diagnosis of oil pump based on wavelet neural network

Considering the issues that the relationship between the fault of oil pump existent and fault information is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The wavelet neural network has the advantages of both wavelet analysis and neural network. In this paper, a fnalt diagnosis method of oil pump based on wavelet neural network is presented, moreover, we adopt a method of reduce the number of the wavelet basic function by analysis the sparsity property of sample data, and the learning algorithm based on the gradient descent was used to train network. With the ability of strong self-learning and function approach and fast convergence rate of wavelet neural network, the diagnosis method can truly diagnosticate the fault of oil pump by learning the fault information of oil pump. The real diagnosis results show that this method is feasible and effective.