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

Mohamed Chelabi (1) , Tarik Hacib (1) , Yann Le Bihan (2) , Houssem Boughedda (1)

1 UMSBJ - Université Mohammed Seddik Benyahia [Jijel] | University of Jijel
2 GeePs - Laboratoire Génie électrique et électronique de Paris

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.

Mots clés: finite element method; FEM; eddy current sensor; Comsol Multiphysics resolution; 3D electromagnetic formulation; impedance variations; size estimation; conducting materials; ECT; eddy current testing; nondestructive evaluation; LS-SVM; least square support vector machine; EM algorithm; electromagnetism-like mechanism algorithm

Domaines: Sciences de l'ingénieur [physics]

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⟩