A review of magnetic flux leakage nondestructive testing

B Feng, J Wu, H Tu, J Tang, Y Kang - Materials, 2022 - mdpi.com
Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method
for the inspection of ferromagnetic materials. This review paper presents the basic principles …

Analysis of magnetic-flux leakage (MFL) data for pipeline corrosion assessment

X Peng, U Anyaoha, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Oil and gas pipelines transport and distribute large quantities of oil products and natural gas
to industrial and residential customers over a long distance. However, pipeline failures could …

A review on non-destructive evaluation of rails: State-of-the-art and future development

M Ph Papaelias, C Roberts… - Proceedings of the …, 2008 - journals.sagepub.com
Rails are systematically inspected for internal and surface defects using various non-
destructive evaluation (NDE) techniques. During the manufacturing process, rails are …

Detection for rail surface defects via partitioned edge feature

X Ni, H Liu, Z Ma, C Wang, J Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Visual inspection techniques for rail surface defects have become prevalent approaches to
obtain information on rail surface damage. However, uneven illumination leads to illegibility …

Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation

H Sun, L Peng, S Huang, S Li, Y Long… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and
estimation. The quantification errors for defect depth are closely related to length and width …

Discontinuity inspection in pipelines: A comparison review

M Coramik, Y Ege - Measurement, 2017 - Elsevier
Today's main energy sources; natural gas, petrol and petroleum products are transported via
pipelines that are safe at long distances. Most of these pipelines are buried and their …

Microcrack defect quantification using a focusing high-order SH guided wave EMAT: The physics-informed deep neural network GuwNet

H Sun, L Peng, J Lin, S Wang, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
It is challenging to apply deep learning in professional fields that lack big data support,
especially in industrial structure health assessments using ultrasonic guided wave …

Literature review: Theory and application of in-line inspection technologies for oil and gas pipeline girth weld defection

Q Feng, R Li, B Nie, S Liu, L Zhao, H Zhang - Sensors, 2016 - mdpi.com
Girth weld cracking is one of the main failure modes in oil and gas pipelines; girth weld
cracking inspection has great economic and social significance for the intrinsic safety of …

Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterisation

Y Li, J Wilson, GY Tian - NDt & e international, 2007 - Elsevier
Magnetic flux leakage (MFL) testing is widely used to detect and characterise defects in
pipelines, rail tracks and other structures. The measurement of the two field components …

Optical rail surface crack detection method based on semantic segmentation replacement for magnetic particle inspection

L Kou, M Sysyn, S Fischer, J Liu, O Nabochenko - Sensors, 2022 - mdpi.com
Railway damage detection is of great significance in ensuring railway safety. The cracks on
the rail surface play a key role in studying the formation and development process of rail …