基于IEEMD样本熵分析的管道泄漏定位

为降低城市管道泄漏定位误差，提出1种改进的集合经验模态分解（IEEMD）样本熵分析的管道多点泄漏定位方法。首先通过在EEMD中添加自相关函数计算和EMD算法，得到IEEMD；然后应用IEEMD可将原始泄漏信号直接去噪并分解为真实信号分量和冗余分量，经样本熵分析计算剔除冗余分量，获得有效泄漏信号；最后根据互相关时延计算和声发射时差定位法精确计算泄漏点位置。结果表明:该方法泄漏信号提取效果好、计算效率更高，有效提高了信号的信噪比，降低了信号的均方误差；该方法将管道泄漏定位误差降低至4.06%，较大程度提高了管道泄漏定位精确度。

Localization of pipeline leakage based on IEEMD sample entropy analysis

In order to reduce the localization error of urban pipeline leakage,a localization method of pipeline multi point leakage based on the improved ensemble empirical mode decomposition (IEEMD) sample entropy analysis was put forward.Firstly,the improved IEEMD was obtained by adding the autocorrelation function calculation and the EMD algorithm into the EEMD.Then the IEEMD was applied to directly denoise the original leakage signals and decompose them into the real signal components and redundant components,and the redundant components were removed through the sample entropy analysis calculation to obtain the effective leakage signals.Finally,the location of the leakage point was accurately calculated according to the cross correlation time delay calculation and acoustic emission time difference location method.The results showed that the method had good extraction effect and higher calculation efficiency of the leakage signals,which effectively improved the signal to noise ratio and reduced the mean square error of the signals.In addition,this method reduced the localization error of pipeline leakage to 4.06%,which greatly improves the accuracy of pipeline leakage localization.