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Review on automated condition assessment of pipelines with machine learning
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 **ong - 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 …
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 …
Estimation of defect size and cross-sectional profile for the oil and gas pipeline using visual deep transfer learning neural network
M Zhang, Y Guo, Q **e, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The magnetic flux leakage (MFL) defect detection of oil and gas pipelines faces two tasks,
defect type identification and defect size and shape estimation. However, there are few …
defect type identification and defect size and shape estimation. However, there are few …
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 …
Quantitative study on the propagation characteristics of MFL signals of outer surface defects in long-distance oil and gas pipelines
B Liu, Y Liang, L He, Z Lian, H Geng, L Yang - NDT & E International, 2023 - Elsevier
The magnetic flux leakage (MFL) internal detection is one of the most effective methods for
assessment of long-distance oil and gas pipelines. To quantify the outer surface defect …
assessment of long-distance oil and gas pipelines. To quantify the outer surface defect …
A novel crack quantification method for ultra-high-definition magnetic flux leakage detection in pipeline inspection
Y Long, J Zhang, S Huang, L Peng… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Cracks that may cause pipeline cracking and leakage become the main risk of in-service
pipelines after conventional metal loss defects have been detected. Therefore, it is …
pipelines after conventional metal loss defects have been detected. Therefore, it is …