Application of cost-sensitive LSTM in water level prediction for nuclear reactor pressurizer

Zhang Jin; Wang Xiaolong; Zhao Cheng; Bai Wei; Shen Jun; Li Yang; Pan Zhisong; Duan Yexin

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자료유형: 학술저널

저자정보: Zhang Jin Wang Xiaolong Zhao Cheng Bai Wei Shen Jun Li Yang Pan Zhisong Duan Yexin

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제52권 제7호

발행연도: 2020.1

수록면: 1,429 - 1,435 (7page)

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Applying an accurate parametric prediction model to identify abnormal or false pressurizer water levels (PWLs) is critical to the safe operation of marine pressurized water reactors (PWRs). Recently, deeplearning-based models have proved to be a powerful feature extractor to perform high-accuracy prediction. However, the effectiveness of models still suffers from two issues in PWL prediction: the correlations shifting over time between PWL and other feature parameters, and the example imbalance between fluctuation examples (minority) and stable examples (majority). To address these problems, we propose a cost-sensitive mechanism to facilitate the model to learn the feature representation of later examples and fluctuation examples. By weighting the standard mean square error loss with a costsensitive factor, we develop a Cost-Sensitive Long Short-Term Memory (CSLSTM) model to predict the PWL of PWRs. The overall performance of the CSLSTM is assessed by a variety of evaluation metrics with the experimental data collected from a marine PWR simulator. The comparisons with the Long ShortTerm Memory (LSTM) model and the Support Vector Regression (SVR) model demonstrate the effectiveness of the CSLSTM

참고문헌 (34)

참고문헌 신청

J. H. Ye / 2010 / Research on pressurizer water level control of nuclear reactor based on RBF neural network and PID controller / Int. Conf. Mach. Learn. Cybern :1486~1489

M. Marseguerra / 1996 / Neural network-based fault detections in a pressurized water reactor pressurizer / Nucl. Sci. Eng 124(2):339~348

P. L. Bot / 2014 / Human reliability data, human error and accident modelsdillustration through the Three Mile Island accident analysis / Reliab. Eng. Syst. Saf 83(2):153~167

X. L. Wang / 2014 / Abnormal parameter reconstruction for marine nuclear power plant based on multi-signal coupling / J. Shanghai Jiaot. Univ 48(2):210~213

W. Xiao-long / 2013 / Prediction for water level of steam generator based on multi-signal fusion by support vector regression / Atomic Energy Sci. Technol 47:1806~1811

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