Bin Liu

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amcf-ResNet: High-Precision 3-D Defect Reconstruction in Magnetic Flux Leakage Inspection via Multimodal Adaptive Learning and Cross-Feedback.
IEEE Trans. Ind. Informatics
Zhujun Wang, Rongtai Ni, Tianhe Sun, Bin Liu
2025 J jnl
A Reconstruction Method for Weak Magnetic Pipeline Inspection Signals Based on Adaptive Multiscale Signal Reconstruction.
IEEE Trans. Instrum. Meas.
Bin Liu, Yuze Liu, Zheng Lian, Zihan Wu, Luyao He, Lijian Yang
2025 J jnl
MSF-SegFormer: a feature fusion algorithm for magnetic leakage image segmentation.
Appl. Intell.
Zhujun Wang, Rongtai Ni, Tianhe Sun, Yulong Jiang, Bin Liu
2023 J jnl
The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects.
Sensors
Bin Liu, Qian Ge, Zihan Wu, Zheng Lian, Lijian Yang, Hao Geng
2023 J jnl
Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure.
Sensors
Bin Liu, Yanduo Fu, Luyao He, Hao Geng, Lijian Yang
2021 J jnl
Investigating the Characteristic of Weak Magnetic Stress Internal Detection Signals of Long-Distance Oil and Gas Pipeline Under Demagnetization Effect.
IEEE Trans. Instrum. Meas.
Bin Liu, He Zhang, Baoping Zhang, Zheng Lian, Lijian Yang, Tong Liu
2021 J jnl
Quantitative Study of MMM Signal Features for Internal Weld Crack Detection in Long-Distance Oil and Gas Pipelines.
IEEE Trans. Instrum. Meas.
Bin Liu, Gang Feng, Luyao He, Ning Luo, Jian Ren, Lijian Yang
2021 J jnl
Quantitative Study on MFL Signal of Pipeline Composite Defect Based on Improved Magnetic Charge Model.
Sensors
Bin Liu, Ning Luo, Gang Feng
2020 J jnl
Research on Features of Pipeline Crack Signal Based on Weak Magnetic Method.
Sensors
Bin Liu, Ziqi Liu, Ning Luo, Luyao He, Jian Ren, He Zhang
2020 J jnl
Study on Internal Detection in Oil-Gas Pipelines Based on Complex Stress Magnetomechanical Modeling.
IEEE Trans. Instrum. Meas.
Bin Liu, Simeng Zheng, Luyao He, He Zhang, Jian Ren
2017 — conf
The Method of Pipeline Geometry Deformation Detection Identification Based on Laser Imaging.
CRC
Li-jian Yang, Meng-jun Xu, Song-wei Gao, Bin Liu, Hao Geng