Study of Rotating Machinery Fault Diagnosis Model with Integrating Neural Network and Expert System
Yanqiu Wang, Kejian Yang · 2009
Aimed at these shorts of the unity expert system in rotate machine fault diagnosis, a new method of neural network interfused with traditional expert system is presented in rotate machine fault diagnosis. The frame and function expression of rotate machine fault diagnosis system based on neural network and traditional expert system are given. The select method of diagnosis parameter and the setting up process of knowledge database and module of neural network are analyzed. The experiment results demonstrate that diagnosis faults method is effective.