CAJ | 학술논문

管道泄漏通常会造成管体的变形和破坏，利用金属磁记忆技术可有效检测由于泄漏而造成的管道应力集中。针对含有干扰噪声的非稳态磁记忆信号泄漏点特征信息提取，提出一种基于希尔伯特-黄变换的信号分析方法。该方法首先利用经验模态分解（Empirical Mode Decomposition，EMD）将磁记忆信号分解成本征模式函数（Intrinsic Mode Function，IMF（Mi(t)）），分离和提取Mi(t)分量并对信号进行重构，然后通过对重构信号的Hilbert包络谱进行分析，可以达到提取管道泄漏点特征信息的目的。实验结果表明，该方法不受管道压力、泄漏量等参数的影响，能够有效提取管道泄漏点的特征信息，具有很好的泄漏点识别准确率。现场检测结果表明，利用该方法对油气管道泄漏点的定位误差小于±1.0 m，验证了该方法的有效性。
관도설루통상회조성관체적변형화파배，이용금속자기억기술가유효검측유우설루이조성적관도응력집중。침대함유간우조성적비은태자기억신호설루점특정신식제취，제출일충기우희이백특-황변환적신호분석방법。해방법수선이용경험모태분해（Empirical Mode Decomposition，EMD）장자기억신호분해성본정모식함수（Intrinsic Mode Function，IMF（Mi(t)）），분리화제취Mi(t)분량병대신호진행중구，연후통과대중구신호적Hilbert포락보진행분석，가이체도제취관도설루점특정신식적목적。실험결과표명，해방법불수관도압력、설루량등삼수적영향，능구유효제취관도설루점적특정신식，구유흔호적설루점식별준학솔。현장검측결과표명，이용해방법대유기관도설루점적정위오차소우±1.0 m，험증료해방법적유효성。
Underground metal pipeline leakage detection and positioning is an urgent technical problem. Usually,the leakage could cause the pipe wall to be deform and damage. The metal magnetic memory is an effectively method to detect the stress concentration. In order to extract the feature of pipeline leakage from the magnetic signals,a time-frequency analysis method has been proposed based on Hilbert-Huang Transform. Firstly,the Intrinsic Mode Functions(IMF,Mi(t))of magnetic signals were obtained using the empirical mode decomposed(EMD)algorithm. Then,through the separation and extraction of the different frequency components,the reconstructed signal by low-frequency Mi(t) would contain feature of pipeline leakage. Finally,the purpose has been realized to extract the feature of pipeline leakage according to analysis of the Hilbert envelope spectrum. The favorable recognition precision ratio and the validity of extraction feature of pipeline leakage were verified by the experiments. Furthermore,experimental results indicate that the pressure and leakage could not affect the extraction feature. The results of in-situ show that the accuracy of leakage positioning is less than±1.0 m.