journal article·2026-07

Physical models for simulating the magnetic flux leakage field of defects

Zhiyuan Hu, Muhong Guo, Ranran Huang, Chuntian Zhao, Hongmei Li

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OpenAlex topics: Non-Destructive Testing Techniques · Magnetic Properties and Applications · Magnetic Field Sensors Techniques

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References (26)

Show source-provided references
1. 3D reconstructing of arbitrary defects with magnetic flux leakage testing signals
2. Pipeline magnetic flux leakage image detection algorithm based on multiscale SSD network10.1109/TII.2019.2926283 ↗
3. A fast magnetic flux leakage small defect detection network10.1109/TII.2023.3280950 ↗
4. A physics-guided MFL deformed defect recovery method10.1109/TASE.2023.3260281 ↗
5. Reconstruction of magnetic charge on breaking flaw based on two-layers algorithm
6. SSCT-Net: a semisupervised circular teacher network for defect detection with limited labeled multiview MFL samples10.1109/TII.2022.3232764 ↗
7. Basic-class and cross-class hybrid feature learning for class-imbalanced weld defect recognition10.1109/TII.2022.3228702 ↗
8. An intelligent defect detection approach based on cascade attention network under complex magnetic flux leakage signals10.1109/TIE.2022.3201320 ↗
9. High reliability pipeline leakage detection based on machine vision in complex industrial environment10.1109/JSEN.2022.3206456 ↗
10. Reliability analysis of corroded pipes using MFL signals and residual neural networks10.1016/j.psep.2024.02.052 ↗
11. A cascaded deep learning approach for detecting pipeline defects via pretrained YOLOv5 and ViT models based on MFL data10.1016/j.ymssp.2023.110919 ↗
12. FEM study on the influence of air gap and specimen thickness on the detectability of flaw in the yoke method10.1016/S0963-8695(99)00060-2 ↗
13. 3D FEM analysis in magnetic flux leakage method10.1016/j.ndteint.2005.06.006 ↗
14. 3-D FEM simulation of velocity effects on magnetic flux leakage testing signals10.1109/TMAG.2007.915955 ↗
15. Numerical simulation on magnetic flux leakage evaluation at high speed10.1016/j.ndteint.2005.10.006 ↗
16. A novel magnetic flux leakage method based on the ferromagnetic lift-off layer with through groove10.1016/j.sna.2021.113091 ↗
17. A novel leakage magnetic field enhancement method based on permeability perturbation
18. Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation10.1109/TII.2021.3089333 ↗
19. A comparative study on methods of distinction between near- and far-side defects as techniques used alongside with the magnetic flux leakage testing10.1007/s10921-022-00844-7 ↗
20. Calculation of the magnetostatic field of surface defects. I. Field topography of defect models
21. Influence of the extension of a defect on the magnitude of its magnetic field
22. The magnetic leakage field of the surface breaking cracks10.1088/0022-3727/19/4/018 ↗
23. Dipole modeling of magnetic flux leakage10.1109/TMAG.2008.2011895 ↗
24. Frequency response of a moving two-dimensional defect in magnetic flux leakage inspection10.1109/LMAG.2019.2906109 ↗
25. A study of magnetic flux-leakage signals10.1088/0022-3727/31/22/006 ↗
26. Estimating the sizes of surface cracks based on Hall element measurements of the leakage magnetic field and a dipole model of a crack10.1007/s003390100899 ↗