摘要
当自然循环流量的时间序列信号存在噪声时,在计算分析时可能产生错误结论。为了避免错误的产生,在超临界水自然循环流动实验数据信号的基础上,通过选择各种不同的小波基函数,对实验流量信号进行信号去噪分析。通过指标计算对比分析,结果表明,经Dmey小波基函数变换后的自然循环流量去噪信号值,其标准偏差和均方根误差(RMSE)最小、相关系数最大、信噪比较高。因此,Dmey小波基函数适用于超临界水自然循环流量实验数据的信号降噪分析处理。
When there is noise in the time series signal of the natural circulation flow, wrong conclusion could be arrived in the calculation and analysis. In order to avoid this result, based on the experimental data signal of the supercritical water natural circulation flow, the denoising of the experimental flow signal is analyzed by selecting various wavelet basis functions. The calculation and comparison of the indicators showed that, the denoised signal value for the natural circulation flow after Dmey wavelet base function transformation are with miminum standard deviation and root-mean-square error(RMSE), maximum correlation coefficient and high noise-signal ratio. The wavelet basis functions is suitable for the analysis and treatment of the signal denoising of the experimental data of supercritical water natural circulation flow.
引文
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