Study on Leakage Detection and Localization of Underground Pipelines
Based on Metal Magnetic Memory

doi:10. 3863/j. issn. 1674 – 5086. 2013. 05. 024

Abstract

Abstract:

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 than1.0 m.

Yang Yong, Wang Guanjun, Sun Dong, Liu Yanguo, Ji Jie. Study on Leakage Detection and Localization of Underground Pipelines
Based on Metal Magnetic Memory[J]. 西南石油大学学报(自然科学版), DOI: 10. 3863/j. issn. 1674 – 5086. 2013. 05. 024.

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