Stress and Corrosion Defect Identification in Weak Magnetic Leakage Signals Using Multi-Graph Splitting and Fusion Graph Convolution Networks

Stress and Corrosion Defect Identification in Weak Magnetic Leakage Signals Using Multi-Graph Splitting and Fusion Graph Convolution Networks

Weak magnetic flux leak detection is one of the most important non-destructive testing and measurement methods for pipelines. Since different defects cause different damage, it is necessary to classify the different types of defects. Traditional machine learning methods of defect type identification...

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Bibliographic Details
Main Authors: Shaoxuan Zhang, Senxiang Lu, Xu Dong
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Machines
Subjects:
graph convolutional networks (GCNs)
stress defects of corrosion defects
weak magnetic flux leakages
non-destructive testing
Online Access:https://www.mdpi.com/2075-1702/11/1/70

Internet

https://www.mdpi.com/2075-1702/11/1/70

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