Stress and corrosion defect identification in weak magnetic leakage signals using multi-graph splitting and fusion graph convolution networks

HIGHLIGHTS

• who: Shaoxuan Zhang and collaborators from the College of Information Science and Engineering, Northeastern University, Shenyang, China have published the Article: Stress and Corrosion Defect Identification in Weak Magnetic Leakage Signals Using Multi-Graph Splitting and Fusion Graph Convolution Networks, in the Journal: Machines 2023, 11, 70. of /2023/
• what: The authors propose convolution networks for and fusing multiple graphs of detail graphs and a root Detail information (detail graphs) provides detailed information for the detection of WMFLs. In this paper, a new detailbased and structure-based graph method is proposed, which improves the feature . . .
  

   

  

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