Machine Learning-Based Dipole Modeling of 3-D Magnetic Flux Leakage Caused by Outer-Surface Linear Cracks for Pipeline In-Line Inspection

Wang, Yizhao; Guo, Jingbo; Hu, Tiehua; Shi, Qihang; Deng, Zeqiang

doi:10.1109/tim.2024.3470020

IEEE Trans. Instrum. Meas.

2024

DOI: 10.1109/tim.2024.3470020

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Machine Learning-Based Dipole Modeling of 3-D Magnetic Flux Leakage Caused by Outer-Surface Linear Cracks for Pipeline In-Line Inspection

Yizhao Wang,

Jingbo Guo,

Tiehua Hu

et al.

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Machine Learning-Based Dipole Modeling of 3-D Magnetic Flux Leakage Caused by Outer-Surface Linear Cracks for Pipeline In-Line Inspection

Cited by 6 publications

References 35 publications

A real-time visual SLAM based on semantic information and geometric information in dynamic environment

A real-time visual SLAM based on semantic information and geometric information in dynamic environment

Reliability analysis and Terahertz characterization of circuit board defect employing branchy neural network in edge-cloud fusion architecture

Multi-objective optimization of IPMSM for electric vehicles based on the combinatorial surrogate model and the hierarchical design method

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