Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation

HIGHLIGHTS

• who: Defect Size Estimation et al. from the Wei Zhao are with the State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing , have published the article: Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation, in the Journal: (JOURNAL) of February/17,/2021
• what: In this Article to describe and integrate the above theory into a deep neural network the authors propose a physics-informed doubly fed cross-residual network (DfedResNet) suitable for MFL detection based on deep learning . . .
  

   

  

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