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An adaptive channel equalization algorithm for MFL signal

机译:MFL信号的自适应信道均衡算法

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摘要

Magnetic Flux Leakage (MR) method is one of the most robust non destructive evaluation (NDE) techniques employed by in-line inspection (ILI) tools such as an instrumented pipeline inspection gauge (IPIG), to assess the health of buried cross country pipelines, carrying petroleum products. An array of hall-effect sensors disposed ideally at the magnetic neutral plane of a permanent magnet resident in IPIG, cling to the inner surface of the pipe wall, measuring the change in leakage flux density. However, ideal sensor disposition is almost never satisfied and each sensor measures differently. In this paper, a new scheme of channel equalization is proposed for MFL signal so as to correct sensor misalignments, which eventually improves accuracy of defect characterization. Also, for the above, a baseline estimator is developed, which estimates the baseline of MFL sensor output signal under pipeline defects and key features (wields, sleeves, valves). The scheme proposed is adaptive to the effects of error in the disposition of the sensor due to manufacturing imperfections and sensor movements (bounce/axial shift near a weld). The algorithm is tested on field data acquired by an IPIG running in a commercial pipeline. The final result obtained shows excellent signal recovery and noise cancellation.
机译:磁通量泄漏(MR)方法是在线检测(ILI)工具(如仪表管道检测仪(IPIG))采用的最可靠的无损评估(NDE)技术之一,用于评估埋地越野管道的健康状况,运载石油产品。理想情况下,一组霍尔效应传感器布置在IPIG中驻留的永磁体的磁性中性面处,紧贴管壁的内表面,以测量泄漏通量密度的变化。但是,理想的传感器配置几乎永远无法满足,并且每个传感器的测量方式也不同。本文提出了一种针对MFL信号的信道均衡新方案,以纠正传感器失准,最终提高了缺陷表征的准确性。同样,对于上述情况,开发了基线估计器,该基线估计器在管道缺陷和关键特征(焊缝,套管,阀门)下估计MFL传感器输出信号的基线。所提出的方案适用于由于制造缺陷和传感器运动(焊缝附近的弹跳/轴向位移)引起的传感器布置误差的影响。该算法在商业管道中运行的IPIG采集的现场数据上进行了测试。获得的最终结果显示了出色的信号恢复和噪声消除。

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