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When transients or accidents occur in the nuclear power plants, the plant operators and technical staffs are provided with only partial information and faced with a number of signals and alarms. Therefore, providing information such as a break size in case of LOCA is essential to control these events successively. In this paper, in order to predict the LOCA break size, a prediction model was developed by using group method of data handling (GMDH) algorithm, and we have conducted its uncertainty analysis. The proposed prediction model was verified using the acquired data from the OPR1000 nuclear power plant.

Uncertainty Analysis of the LOCA Break Size Prediction Model using GMDH