A Novel Weld Defect Detection Method for Intelligent Magnetic Flux Leakage Detection System via Contextual Relation Network
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University, Shenyang, China
2. State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China
Funder
National Natural Science Foundation of China
LiaoNing Revitalization Talents
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10416960/10195860.pdf?arnumber=10195860
Reference28 articles.
1. Small Leak Location for Intelligent Pipeline System Via Action-Dependent Heuristic Dynamic Programming
2. Defect Size Quantification for Pipeline Magnetic Flux Leakage Detection System via Multilevel Knowledge-Guided Neural Network
3. Advanced Control in Marine Mechatronic Systems: A Survey
4. A Multisensor Cycle-Supervised Convolutional Neural Network for Anomaly Detection on Magnetic Flux Leakage Signals
5. Multisensor Fusion for Magnetic Flux Leakage Defect Characterization Under Information Incompletion
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