Recognition and fault diagnosis system of U shape pipe breaking accident of steam generator

The fault symptoms of the U shape pipe breaking accident of steam generator (USPBASG) and the necessary for diagnosing the USPBASG are discussed. Meanwhile, the differences and connections between the fuzzy logic and neural network are compared. Furthermore, the algorithm and structure of the fuzzy neural network are introduced and applied to the Fault Diagnosis for the USPBASG. The test result shows that the fault can be identified by the fuzzy neural network. Moreover, the fuzzy neural network can diagnose other faults of the nuclear power plant, and it can satisfy the demand for fault diagnosis.