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Estimation of moderator temperature coefficient of actual PWRs using wavelet transform

机译:基于小波变换的实际压水堆减速器温度系数估算

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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:近年来,数值模拟显示了小波变换在估计慢化温度系数方面的适用性。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,在傅立叶变换方法中,分析的反应性成分除以相关参数的分析成分。为了将这种方法用于分析实际压水堆中的测量数据,我们对与实际数据更相似的数据进行了数值模拟,并提出了一种使用小波变换估算慢化温度系数的方法。在数值模拟中,我们获得了相对误差小于4%的慢化温度系数。基于此结果,我们将该方法用于实际压水堆中的测量数据分析,结果证明该方法适用于估计实际压水堆中的慢化温度系数。预期该方法可以减少测量过程中所需的数据长度。我们期望利用短瞬态数据来扩展该方法以估计其他反应系数的适用性。

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