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Leakage Signal Analysis of Urban Gas Pipeline Based on Improved Variational Mode Decomposition

机译:基于改进变分模分解的城市燃气管道泄漏信号分析

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摘要

Aiming at problems of multipoint leakage source detection and low positioning accuracy in urban gas pipelines, a multipoint leak location method base on improved variational mode decomposition (VMD) was proposed. By improving the VMD decomposition of the original leakage signal, the parameters of the VMD were optimized to reduce the influence of noise and weak correlation signals on the leak location. Then the multi-point leakage location model of pipeline was established, and the sensitive modal component Intrinsic mode function (IMF) with the most leakage information was selected by multiscale entropy. According to the characteristics of the blind source separation method, the relevant time delays of the simultaneous leakage of multiple points on the pipeline and the frequency of the signal are extracted. Finally, The location of the leak source is determined according to the principle of cross-correlation. The experimental results show that compared with the direct cross-correlation method and the VMD-based method, the proposed multipoint leak diagnosis method has less error, the minimum relative error is 1.61%, and the positioning accuracy is higher.
机译:针对城市气体管道中多点泄漏源检测和低定位精度的问题,提出了一种改进变分模式分解(VMD)的多点泄漏定位方法。通过改善原始漏电信号的VMD分解,优化了VMD的参数,以减少噪声和弱相关信号对泄漏位置的影响。然后建立了管道的多点泄漏位置模型,并且通过多尺度熵选择了具有最大泄漏信息的敏感模态分量内在模式功能(IMF)。根据盲源分离方法的特征,提取管道上多个点同时泄漏的相关时间延迟和信号的频率。最后,根据交叉相关原理确定泄漏源的位置。实验结果表明,与直接互相关方法和基于VMD的方法相比,所提出的多点泄漏诊断方法具有较小的误差,最小相对误差为1.61%,定位精度较高。

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