Application of Fuzzy Neural Network to Fault Diagnosis of Sensor with Mechanical Properties in Nuclear Power Plant

摘要

In view of the sensor fault in nuclear power plant, it puts forward a method to fault diagnosis of sensor with mechanical properties based on fuzzy neural network. The method would be fuzzy logic control combined with neural network. It adjusted and corrected membership function parameters and network weights with back propagation algorithm. After the completion of fuzzy neural network training, it could get the credibility of sensor with mechanical properties real time. Taking pressurizer water-level sensor as the case, the simulation experiment results showed that the method is valid for the fault diagnosis of sensor with mechanical properties in nuclear power plant.