This contribution introduces a highly robust and content oriented detector of circumferential weld for oil pipeline intelligent inspection, achieving close to zero-miss performance. The method, named ACOD (automatic and circumferential oriented detection) self processes the multidimensional data collected by a pipeline inspection device equipped with many ultrasonic sensors (up to 512). ACOD can be run in a standalone mode of operation as a supplement of human expert monitoring. A compression step makes it scalable in complexity. ACOD introduces a unique "circumferential oriented" feature in the detection scheme, based on HOS (higher order statistics). This feature boosts the statistical contrast between PCE (partial circumferential events) or false alarm and FCE (full circumferential events) to be detected, such as the welds that tie together two pieces of tubes. Because of its contrast boost and its scalable ACOD complexity, outperforms an existing reference method while saving 30% of processing time.


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    Titel :

    Automatic and circumferential oriented detection (ACOD) for pipeline intelligent inspection


    Beteiligte:


    Erscheinungsdatum :

    2011


    Format / Umfang :

    8 Seiten, 7 Bilder, 9 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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