Review on automated condition assessment of pipelines with machine learning
Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …
incidents continue occurring. Condition assessment of pipelines is essential to identify …
Analysis of magnetic-flux leakage (MFL) data for pipeline corrosion assessment
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 …
to industrial and residential customers over a long distance. However, pipeline failures could …
Magnetic particle inspection: Status, advances, and challenges—Demands for automatic non-destructive testing
Q Wu, K Dong, X Qin, Z Hu, X Xiong - NDT & E International, 2024 - Elsevier
Magnetic particle inspection (MPI) is a highly sensitive and user-friendly nondestructive
technique that remains essential for detecting surface and near-surface defects in …
technique that remains essential for detecting surface and near-surface defects in …
An estimation method of defect size from MFL image using visual transformation convolutional neural network
In most current nondestructive testing systems, a magnetic flux leakage (MFL) method is
widely used in various industry fields, where the structural integrity of specimens is of vital …
widely used in various industry fields, where the structural integrity of specimens is of vital …
Injurious or noninjurious defect identification from MFL images in pipeline inspection using convolutional neural network
This paper proposes an injurious or noninjurious defect identification method from magnetic
flux leakage (MFL) images based on convolutional neural network. Different from previous …
flux leakage (MFL) images based on convolutional neural network. Different from previous …
Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning
Signals collected from the magnetic scans of metal-loss defects have distinct patterns.
Experienced pipeline engineers are able to recognize those patterns in magnetic flux …
Experienced pipeline engineers are able to recognize those patterns in magnetic flux …
Deep learning for magnetic flux leakage detection and evaluation of oil & gas pipelines: A review
S Huang, L Peng, H Sun, S Li - Energies, 2023 - mdpi.com
Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing
technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is …
technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is …
A simplified lift-off correction for three components of the magnetic flux leakage signal for defect detection
L Peng, S Huang, S Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Magnetic flux leakage (MFL) testing is widely used to detect and estimate defect in
ferromagnetic materials. The lift-off of sensors caused the weakening of the detected signal …
ferromagnetic materials. The lift-off of sensors caused the weakening of the detected signal …
Nanofluid based optical sensor for rapid visual inspection of defects in ferromagnetic materials
V Mahendran, J Philip - Applied Physics Letters, 2012 - pubs.aip.org
We have developed a simple sensor for imaging internal defects in materials using a
magnetically polarizable nanoemulsion. The gradient in the magnetic flux lines around the …
magnetically polarizable nanoemulsion. The gradient in the magnetic flux lines around the …
Estimation of depth and length of defects from magnetic flux leakage measurements: verification with simulations, experiments, and pigging data
MR Kandroodi, BN Araabi, MM Bassiri… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Magnetic flux leakage (MFL) method is the most widely used non-destructive testing
techniques for detection and characterization of defects in product transmission pipelines …
techniques for detection and characterization of defects in product transmission pipelines …