基于时间序列预测分析的钠冷快堆蒸汽发生器钠-水反应噪声探测技术研究

Detection Technology of Sodium-water Reaction Noise in Sodium-cold Fast Reactor Steam Generator Based on Time Series Forecast Analysis

为研究钠冷快堆蒸汽发生器内部传热管路破损所导致的钠-水反应引起的蒸汽发生器内部能量、流体运行状态及反应成分等不易测量的变化,引入时间序列模型预测分析方法,对蒸汽发生器实验台架模拟泄漏工况所产生的噪声信号进行建模分析,并基于时间序列模型进行信号预测,通过对预测信号与原始信号进行比较判断传热管路泄漏发生的具体时间。实验结果表明,时间序列模型预测分析方法能对钠-水反应产生的噪声信号进行有效建模分析,且根据预测信号能快速准确识别泄漏发生的具体时刻。

In order to study the difficultly measurable changes of the internal energy,the fluid operating state and the reaction composition in the steam generator,which are caused by the damage of the heat transfer pipeline in the steam generator of the sodium-cooled fast reactor,the time series model forecast analysis method was introduced.The noise signal generated by the steam generator experimental bench under simulated leakage conditions was analyzed by model and forecasted based on the time series model.The specific time of heat transfer pipeline leakage was determined by comparing the forecasted signal with the original signal.The results show that the noise signal generated by the sodium-water reaction can be modeled and analyzed effectively by the time series model forecast analysis method,the specific time can be identified quickly and accurately when the leak occurs according to the forecast signal.