M-P artificial neural network model for nuclear power plant fault diagnostic system
XI Shuren · Journal of Tsinghua University(Science and Technology) · 2003
An M-P artificial neural network (ANN) was used to model the diagnostic network of a nuclear power plant unit fault diagnostic system. The M-P model was developed based on the characteristics of the signals and fault events in nuclear power plant faults. The advantages and disadvantages of the M-P model were analyzed. A diagnostic network was built using the M-P model for the safety-related water service system. The M-P model avoids some problems related to the building and training of other neural networks. A combination of the M-P model and other models provides an improved nuclear power plant diagnostic system, especially for processing diagnostic tasks which depend heavily on logic judgments.