"Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural ..."

Hongyu Sun et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TII.2021.3089333

access: open

type: Journal Article

metadata version: 2023-07-27

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/tii/SunPHLLWZ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tii/SunPHLLWZ22
Hongyu Sun, Lisha Peng, Songling Huang, Shisong Li, Yue Long, Shen Wang, Wei Zhao:
Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation. IEEE Trans. Ind. Informatics 18(3): 1629-1640 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.