Have a personal or library account? Click to login
Eddy Current Microsensor and RBF Neural Networks for Detection and Characterization of Small Surface Defects Cover

Eddy Current Microsensor and RBF Neural Networks for Detection and Characterization of Small Surface Defects

Measurement Science Review
Volume 22 (2022): Issue 3 (June 2022)
By: Chifaa Aber,  Azzedine Hamid,  Mokhtar Elchikh and  Tierry Lebey  
Open Access
|Apr 2022

Authors

Chifaa Aber

aber_ch@hotmail.com

Physical engineering Department, Applied Power Electronics Laboratory, University of Science and Technology USTO-MB, Oran, Algeria

Azzedine Hamid

Faculty of Electrical Engineering, University of Science and Technology USTO-MB, Oran, Algeria

Mokhtar Elchikh

Physical engineering Department, Applied Power Electronics Laboratory, University of Science and Technology USTO-MB, Oran, Algeria

Tierry Lebey

Laplace Laboratory, University of Paul Sabatier, France
DOI: https://doi.org/10.2478/msr-2022-0015 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 112 - 121
Submitted on: Sep 22, 2021
Accepted on: Feb 28, 2022
Published on: Apr 22, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Defect inspection,
Eddy current,
Finite element method,
Microsensor,
RBF,
Moving band method,
Neural network
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 Chifaa Aber, Azzedine Hamid, Mokhtar Elchikh, Tierry Lebey, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 22 (2022): Issue 3 (June 2022)Next article