Correlation Dimension Based the Complex Mechanical Neural Network Diagnosis Model Simulation Research

In view of the complexity and nonlinear characteristics of the mechanical equipment failure, this article combines fractal theory, neural network and expert system together and designs a model of fractal neural network fusion fault diagnosis on the basis of existing model of fault diagnoses and simulations to achieve the real approximation of failure mechanism. This model is used to the simulation and test of plump turbine fault diagnosis. The research shows the model can achieve more precise diagnosis of complex rotating machinery equipment failure.