Theory and Application of Magnetic Flux Leakage Pipeline Detection

被引：258

作者：

Shi, Yan ^{[1
]}

Zhang, Chao ^{[1
]}

Li, Rui ^{[1
,2
]}

Cai, Maolin ^{[1
]}

Jia, Guanwei ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

[2] PetroChina Pipeline Co, Langfang 065000, Peoples R China

来源：

SENSORS | 2015年 / 15卷 / 12期

关键词：

in-line inspection; magnetic flux leakage detection; pipeline; review; DEFECT RECONSTRUCTION; SURFACE CRACKS; INSPECTION; SIGNALS; MODEL; SIMULATION; ALGORITHM; CORROSION; DESIGN; NDT;

D O I：

10.3390/s151229845

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Magnetic flux leakage (MFL) detection is one of the most popular methods of pipeline inspection. It is a nondestructive testing technique which uses magnetic sensitive sensors to detect the magnetic leakage field of defects on both the internal and external surfaces of pipelines. This paper introduces the main principles, measurement and processing of MFL data. As the key point of a quantitative analysis of MFL detection, the identification of the leakage magnetic signal is also discussed. In addition, the advantages and disadvantages of different identification methods are analyzed. Then the paper briefly introduces the expert systems used. At the end of this paper, future developments in pipeline MFL detection are predicted.

引用

页码：31036 / 31055

页数：20

共 50 条

[1] Application of curve fitting in signal reconstruction of magnetic flux leakage inner detection for pipeline
Yang, Li-Jian
Sun, Xiao
Gao, Song-Wei
[J]. Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology, 2012, 34 (06): : 671 - 676
[2] Data compression technology in pipeline magnetic flux leakage detection
Yang, Li-Jian
Zhang, Shuang-Nan
Gao, Song-Wei
[J]. Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology, 2010, 32 (04): : 395 - 399
[3] Research on Magnetic Flux Leakage Detection Method for Subsea Pipeline
黄作英
阙沛文
杨崇倡
[J]. Journal of Donghua University(English Edition), 2004, (05) : 98 - 101
[4] Finite element method in subsea pipeline magnetic flux leakage detection
Huang, ZY
Que, PW
[J]. ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 840 - 844
[5] Quantization of pipeline magnetic flux leakage detection signal under load
Liu T.
Liu B.
Feng G.
Lian Z.
Yang L.
[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2022, 43 (01): : 262 - 273
[6] FEA of Pipeline Magnetic Flux Leakage NDE
Li, Xing
Chen, Liang
Zeng, Xiaohong
[J]. 2009 INTERNATIONAL CONFERENCE ON APPLIED SUPERCONDUCTIVITY AND ELECTROMAGNETIC DEVICES, 2009, : 308 - 311
[7] Detection of Natural Gas Pipeline Defects using Magnetic Flux Leakage Measurements
Kandroodi, Mojtaba Rostami
Araabi, Babak Nadjar
Ahmadabadi, Majid Nili
Shirani, Farshad
Bassiri, Maisam Mansoob
[J]. 2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2013,
[8] Adaptive Compressive Sensing: An Optimization Method for Pipeline Magnetic Flux Leakage Detection
Zhang, Shuai
Liu, Jinhai
Zhang, Xin
[J]. SUSTAINABILITY, 2023, 15 (19)
[9] Alternative magnetic flux leakage modalities for pipeline inspection
Katragadda, G
Lord, W
Sun, YS
Udpa, S
Udpa, L
[J]. IEEE TRANSACTIONS ON MAGNETICS, 1996, 32 (03) : 1581 - 1584
[10] Pipeline Magnetic Flux Leakage Image Detection Algorithm Based on Multiscale SSD Network
Yang, Lijian
Wang, Zhujun
Gao, Songwei
[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (01) : 501 - 509

← 1 2 3 4 5 →