Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline

被引：142

作者：

Afzal, M ^{[1
]}

Udpa, S ^{[1
]}

机构：

[1] Michigan State Univ, Dept Elect & Comp Engn, Mat Assessment Res Grp, E Lansing, MI 48824 USA

来源：

NDT & E INTERNATIONAL | 2002年 / 35卷 / 07期

关键词：

non destructive evalution signal processing; pipeline inspection; noise; adaptive filter; seamless pipe; wavelet; detection; magnetic flux leakage; signal-to-noise ratio; automated analysis;

D O I：

10.1016/S0963-8695(02)00024-5

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Natural gas is normally transported through a vast network of pipelines. A major segment of this network employs seamless pipes. The manufacturing processes associated with the production of seamless pipes contribute to a helical variation in the grain properties of the pipe. This introduces an artifact, known as the seamless pipe noise (SPN), in the data obtained from magnetic flux leakage (MFL) inspection of these pipelines. SPN can overwhelm the signals generated by defects and other elements in pipelines, and can therefore, mask their indications in the MFL data. This paper presents a new technique for detecting signals in MFL data obtained from seamless pipes. The overall approach employs an adaptive filter and a wavelet based de-noising technique. The algorithm is computationally efficient and data independent. Results from application of the approach to data from field tests are presented. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：449 / 457

页数：9