The magnetic flux leakage (MFL) method has established itself as the most widely used inline inspection technique for the evaluation of pipelines. The MFL signal is usually contaminated by various noise sources. This paper presents the empirical mode decomposition (EMD) for enhancing signal-to- noise ratio. Experiments are conducted on the pipeline steel samples with different depth artificial defects. The MFL signal is decomposed into several intrinsic mode functions by EMD. Some modes are selected to reconstruct a new signal considering their frequencies and energy. The reconstructed signal has a better signal-to-noise ratio. The results show that EMD technology is efficient in eliminating noise in the MFL signal.


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    Title :

    Signal processing of magnetic flux leakage surface flaw inspect in pipeline steel


    Additional title:

    Signalverarbeitung beim magnetischen Streufluss zur Oberflächenfehlerprüfung in Pipelinestahl


    Contributors:
    Chen, Liang (author) / Li, Xunbo (author) / Qin, Guangxu (author) / Lu, Qiang (author)

    Published in:

    Publication date :

    2008


    Size :

    9 Seiten, 7 Bilder, 2 Tabellen, 8 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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