Research of Rotating Machinery Fault Diagnosis Based on Fuzzy Neural Network and Information Fusion

The traditional method can not solve the fault diagnosis of rotating machinery fault diagnosis ambiguity problem, a different position sensor data obtained by the fuzzy neural network-based fault diagnosis model and pre-information fusion, data collection by sensor rotation mechanism of CNC equipment, by fuzzy neural network theory diagnostic techniques to predict the possible failure of the equipment locally. Finally, the partial failure of the D-S evidence theory to get the final information fusion fault information.