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Estimation of moderator temperature coefficient of actual PWRs using wavelet transform

机译:使用小波变换估算实际PWR的主持人温度系数

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摘要

Recently, an applicability of wavelet transform for estimation of moderator temperature coefficient was shown in numerical simulations. The basic concept of the wavelet transform is to eliminate noise in the measured signals. The concept is similar to that of Fourier transform method in which the analyzed reactivity component is divided by the analyzed component of relevant parameter. In order to apply the method to analyze measured data in actual PWRs, we carried out numerical simulations on the data that were more similar to actual data and proposed a method for estimation of moderator temperature coefficient using the wavelet transform. In the numerical simulations we obtained moderator temperature coefficients with the relative error of less than 4%. Based on this result we applied this method to analyze measured data in actual PWRs and the results have proved that the method is applicable for estimation of moderator temperature coefficients in the actual PWRs. It is expected that this method can reduce the required data length during the measurement We expect to expand the applicability of this method to estimate the other reactivity coefficients with the data of short transient.
机译:近来,在数值模拟中示出了用于估计主持人温度系数的小波变换的适用性。小波变换的基本概念是消除测量信号中的噪声。该概念类似于傅立叶变换方法的概念,其中分析的反应性分量除以相关参数的分析分量。为了应用该方法来分析实际PWR中的测量数据,我们对数据的数值模拟更类似于实际数据,并提出了一种使用小波变换估计了主持人温度系数的方法。在数值模拟中,我们获得的主持人温度系数,相对误差小于4%。基于该结果,我们应用了这种方法来分析实际PWR中的测量数据,结果证明了该方法适用于实际PWR中的主持人温度系数的估计。预期该方法可以减少测量期间的所需数据长度,我们预计该方法的适用性估计与短暂瞬态的数据估计其他反应性系数。

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