Analysis of MFL Model for Sucker Rod Defects and Its MFL Signal Processing-Reference-Cited by-同舟云学术

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Analysis of MFL Model for Sucker Rod Defects and Its MFL Signal Processing

Published:2018-10-02 Issue:5 Volume:47 Page:20170687
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Zhang Ou¹,Wei Xueye²

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China (Corresponding author), e-mail: 18810387896@163.com, https://orcid.org/0000-0002-5203-8006

2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Defect Detection Method for Overhead Ground Wire;Sensors;2023-12-28

2. Influence of tensile stress on the magnetic flux leakage signal of the coated steel belt;Nondestructive Testing and Evaluation;2023-11-14

3. Machine learning method for predicting the fatigue life of sucker rods;Engineering Fracture Mechanics;2023-04

4. A Novel Crack Quantification Method for Ultra-High-Definition Magnetic Flux Leakage Detection in Pipeline Inspection;IEEE Sensors Journal;2022-08-15

5. MFL Image Recognition Method of Pipeline Corrosion Defects Based on Multilayer Feature Fusion Multiscale GhostNet;IEEE Transactions on Instrumentation and Measurement;2022

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