Quality Control and Feature Restoration of High-Speed Magnetic Flux Leakage Signals based on Signal Compensation Method
Author:
Affiliation:
1. School of Information Science and Engineering, Northeastern University,Shenyang,China,110819
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10167063.pdf?arnumber=10167063
Reference24 articles.
1. Precise Inversion for the Reconstruction of Arbitrary Defect Profiles Considering Velocity Effect in Magnetic Flux Leakage Testing
2. Effectiveness of Entropy Weight Method in Decision-Making
3. RBF-based compensation of velocity effects on MFL signals
4. A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features
5. Multichannel Spatio-Temporal Feature Fusion Method for NILM
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1. A composite testing method of homologous magnetic flux leakage and motion-induced eddy current for inner and outer defects;Measurement;2025-01
2. MEM-RCNN: A Deep Learning Based Image Segmentation Algorithm for Pipeline Magnetic Leakage Defects;2023 International Conference on Intelligent Communication and Networking (ICN);2023-11-10
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