Electromagnetism-like Mechanism Algorithm and Least Square Support Vector Machine for Estimation the Defect in Nondestructive Evaluation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Electromagnetism-like Mechanism Algorithm and Least Square Support Vector Machine for Estimation the Defect in Nondestructive Evaluation

Résumé

Eddy Current Testing (ECT) is a fast and effective method for detecting and sizing most of the default in conducting materials. The size estimation of an unknown defect from the measurement of the impedance variations is an important technique in industrial area. This paper considers to solve this problem by the novel combination of the Least Square Support Vector Machines (LS-SVM) and Finite Element Method (FEM). The FEM is used to modelling the eddy current sensor. In this context, Comsol Multiphysics resolution using a 3D electromagnetic formulation have been considered to create a database required to train the LS-SVM. Several method exist to find the LS-SVM parameters. Electromagnetism-like Mechanism (EM) algorithm is proposed. A good agreement is obtained between the numerical results and the experimental measure.
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Dates et versions

hal-01460571 , version 1 (07-02-2017)

Identifiants

Citer

Mohamed Chelabi, Tarik Hacib, Yann Le Bihan, Houssem Boughedda. Electromagnetism-like Mechanism Algorithm and Least Square Support Vector Machine for Estimation the Defect in Nondestructive Evaluation. 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), Nov 2016, Miami, United States. ⟨10.1109/cefc.2016.7816197⟩. ⟨hal-01460571⟩
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