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 …
A pipeline defect inversion method with erratic MFL signals based on cascading abstract features
H Zhang, L Wang, J Wang, F Zuo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Defect inversion, as a key step in magnetic flux leakage (MFL) inspection widely used in
nondestructive testing (NDT) systems, is critical to quantitative analysis of pipeline risk level …
nondestructive testing (NDT) systems, is critical to quantitative analysis of pipeline risk level …
Fast reconstruction of 3-D defect profile from MFL signals using key physics-based parameters and SVM
Fast reconstruction of three-dimensional (3-D) defect profile from three-axis magnetic flux
leakage (MFL) signals is important to the pipeline inline inspection (ILI) in the oil and gas …
leakage (MFL) signals is important to the pipeline inline inspection (ILI) in the oil and gas …
Cuckoo search and particle filter-based inversing approach to estimating defects via magnetic flux leakage signals
W Han, J Xu, M Zhou, G Tian, P Wang… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Accurate and timely prediction of defect dimensions from magnetic flux leakage signals
requires one to solve an inverse problem efficiently. This paper proposes a new inversing …
requires one to solve an inverse problem efficiently. This paper proposes a new inversing …
An iterative stacking method for pipeline defect inversion with complex MFL signals
Magnetic flux leakage (MFL) inspection in nondestructive testing (NDT) has been widely
used in damaged pipeline defect inversion. The changeable environment and the …
used in damaged pipeline defect inversion. The changeable environment and the …
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 Xie, 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 …
[HTML][HTML] Magnetic induction measurements and identification of the permeability of magneto-rheological elastomers using finite element simulations
G Schubert, P Harrison - Journal of Magnetism and Magnetic Materials, 2016 - Elsevier
The isotropic and anisotropic magnetic permeability of Magneto-Rheological Elastomers
(MREs) is identified using a simple inverse modelling approach. This involves measuring …
(MREs) is identified using a simple inverse modelling approach. This involves measuring …
Window feature-based two-stage defect identification using magnetic flux leakage measurements
Magnetic flux leakage (MFL) testing, one of the nondestructive testing methods, is widely
adapted by approximately 90% of in-service pipelines. It is very important to identify defects …
adapted by approximately 90% of in-service pipelines. It is very important to identify defects …
Intelligent identification of girth welds defects in pipelines using neural networks with attention modules
L Xu, S Dong, H Wei, D Peng, W Qian, Q Ren… - … Applications of Artificial …, 2024 - Elsevier
Girth weld defects (crack, lack of penetration, lack of fusion, and edge nibbling) can cause
pipeline cracking failure accidents. Internal magnetic flux leakage (MFL) detection can …
pipeline cracking failure accidents. Internal magnetic flux leakage (MFL) detection can …
Precise inversion for the reconstruction of arbitrary defect profiles considering velocity effect in magnetic flux leakage testing
In magnetic flux leakage type nondestructive testing (NDT), there exists velocity effect, which
may cause the distortion of the defect signals and reduce the estimated accuracy of defect …
may cause the distortion of the defect signals and reduce the estimated accuracy of defect …