[1] Y. Bai, Pipelines and risers, Elsevier, 2001
[2] M. Afzal, S. Udpa, Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline, Ndt & E International, 35(7) (2002) 449-457
[3] J.W. Smith, B.R. Hay, Magnetic flux leakage inspection tool for pipelines, in, Google Patents, 2000
[4] M.B. Ignagni, Apparatus and method for accurate pipeline surveying, in, Google Patents, 2003.
[5] Y. Gunaltun, D. Supriyatman, J. Achmad, Top-ofline corrosion in gas lines confirmed by condensation analysis, Oil & gas journal, 97(28) (1999) 64-64
[6] C. Argent, Macaw’s pipeline defects. sl: Yellow PencilMarketing, 2003, ISBN 0-9544295-0-8
[7] D.V. Pugh, S.L. Asher, J. Cai, W.J. Sisak, J.L. Pacheco,F.C. Ibrahim, E.J. Wright, A. Dhokte, S. Venaik, D. Robson, Top-of-line corrosion mechanism for sour wet gas pipelines, in: CORROSION 2009, NACE International, 2009
[8] M. Singer, D. Hinkson, Z. Zhang, H. Wang, S. Nešić,CO2 top-of-the-line corrosion in presence of acetic acid: a parametric study, Corrosion, 69(7) (2013) 719-735
[9] A. Benjamin, J. Freire, R. Vieira, Part 6: Analysisof pipeline containing interacting corrosion defects, Experimental Techniques, 31(3) (2007) 74-82.
[10] Y. Gunaltun, R. Piccardino, D. Vinazza, Interpretation of MFL and UT inspection results in case of top of line corrosion, CORROSION/2006, paper, (6170) (2006) .
[11] N.A. Jemari, J. Palmer, T. Beuker, J. Baker, B.Wimolsukpirakul, J. Onderdonk, A. van Roodselaar, L. Huyse, Improvements in the accurate estimation of top of the line internal corrosion of subsea pipelines on the basis of in-line inspection data, in: 2010 8th International Pipeline Conference, American Society of Mechanical Engineers, 2010, pp. 75-82.
[12] M.A. Siebert, J.E. Sutherland, Application of the circumferential component of magnetic flux leakage measurement for in-line inspection of pipelines, BJ Pipeline Inspection Services, Calgary, Alberta (CA), 1999
[13] Y. Li, J. Wilson, G. Y. Tian, Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterization, NDT and E International, 40(2) (2007) 179-184.
[14] S.M. Dutta, F.H. Ghorbel, R.K. Stanley, Dipole modeling of magnetic flux leakage, IEEE Transactions on Magnetics, 45(4) (2009) 1959-1965.
[15] G. Kopp, H. Willems, Sizing limits of metal loss anomalies using tri-axial MFL measurements: A model study, NDT & E International, 55 (2013) 75-81.
[16] J. Chen, S. Huang W. Zhao, Three-dimensional defect inversion from magnetic flux leakage signals using iterative neural network, IET Science Measurement & Technology, 9(4) (2015) 418–426.
[17] M. Layouni, M.S. Hamdi, S. Tahar, Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning, Applied Soft Computing, 52 (2017) 247-261.
[18] J.S. Alaric, V. Suresh, A. Abudhahir, M.C. Sobia, M. Baarkavi, Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage, Measurement Science Review, 18(1) (2018) 28-34.
[19] Hwang, W. Lord, Finite element modeling of magnetic field/ defect interactions, Journal of Testing and Evaluation, 3(1) (1975) 21 -25.
[20] V. Shcherbinin, N. Zatsepin, Calculation of the magneto static field of surface defects. 1. Field topography of defect models, Defectoscopy, 5 (1966) 385-393.
[21] J. Jackson, Classical Electrodynamics (Wiley, New York) (1998), Google Scholar, 78.
[22] Z. Wang, Y. Gu, Y. Wang, A review of three magnetic NDT technologies, Journal of Magnetism and Magnetic Materials, 324(4) (2012) 382-388.
[23] H. Jansen, P. van de Camp, M. Geerdink, Magnetization as a Key Parameter of MagneticFlux Leakage Pigs for Pipeline Inspection, NDT & E International, 1(30) (1997) 35.
[24] G.S. Park, E.S. Park, Improvement of the sensor system in magnetic flux leakage-type nondestructive testing (NDT), IEEE Transactions on Magnetics, 38(2) (2002) 1277-1280.
[25] T. Bubenik, J. Nestlroth, R. Eiber, B. Saffell,Magnetic flux leakage (MFL) technology for natural gas pipeline inspection, NDT and E International, 1(30) (1997) 36.
[26] L. Clapham, D.L. Atherton, Stress effects on MFLsignals, in: CORROSION 2002, NACE International, 2002
[27] A. Belanger, Managing HIC-Affected PipelinesUsing Multiple-Technology Hard-Spot Tools, in: Conference Proceedings Pipeline Pigging, Integrity assessment & Repair, 2004.
[28] K. Reber, Reliability of flaw size calculation based on magnetic flux leakage inspection of pipelines, (2006).
[29] J. Qi, S. Qingmei, L. Nan, Z. Paschalis, W. Jihong,Detection and estimation of oil-gas pipeline corrosion defects, in: Proceedings of the 18th international conference on systems engineering (ICSE 2006), 2006, pp. 173-177 .
[30] A. Joshi, L. Udpa, S. Udpa, A. Tamburrino, Adaptivewavelets for characterizing magnetic flux leakage signals from pipeline inspection, IEEE transactions on magnetics, 42(10) (2006) 3168-3170.
[31] M.R. Kandroodi, F. Shirani, B.N. Araabi, M.N.Ahmadabadi, M.M. Bassiri, Defect detection and width estimation in natural gas pipelines using MFL signals, in: Control Conference (ASCC), 2013 9th Asian, IEEE, 2013, pp. 1-6.
[32] J.-W. Kim, S. Park, Magnetic Flux Leakage Sensing and Artificial Neural Network Pattern Recognition-Based Automated Damage Detection and Quantification for Wire Rope Non-Destructive Evaluation, Sensors, 18(1) (2018) 109.
)