Optimal sampling for fast eddy current testing inversion by utilising sensitivity data

Abstract

An adaptive sampling method based on simplex-mesh refinement is proposed for creating a forward database that can facilitate the inverse problem solution in non-destructive testing. The resulting mesh-database is used as a generic interpolator of the forward problem. The available sensitivity data are utilised for obtaining an optimal sampling with respect to the piecewise linear interpolation applied for data retrieval. The resulting database provides guaranteed quality of approximation using a relatively few number of samples. The method is illustrated by a crack reconstruction problem of eddy current testing.

Review on system development in eddy current testing and technique for defect classification and characterization

“…The feedback of output signal will be shown following the applied input signals. [12] An air-core or ferrite-core coil as EC probe [13] Develop circuitry to measurement and functioned a particular type of probe [14] The PWM carrier eddy current for estimation of magnet [15] Multifrequency mode for triple-coil sensor in lift-off detection [16] System by using artificial neural network [17] Simulations for the threedimensional finite element [18] Topological shape optimisation [19] Simplex-mesh refinement is proposed for creating a forward database [20] Lorentz force ECT [21] Pulsed eddy current signal in inspection technique [22] Probe development of the detection system [23] Feeding devices which are used in the eddy current detection of titanium alloy tube [24] An induction motor 's loading being controlled by ECB [25] Lorentz force ECT [21] Image processing with 2D defect profile reconstruction technique [26] Enables the detection of defects lying and deep inside a conducting material with computation 3D with Lorentz force technique in ECT [27] Swarm algorithm is performed wherein the exact forward computations [28] Characterisation of defects on rivets [29] Non-invasive inspection of large conductive structures [30] Constant current AC source for excitation of the probe [31] Type sensor is introduced based on the eddy current principle [32] Filtrate the suspension of multi-walled carbon nanotubes CNTs [33] The braking torque and force analysis in eddy current using axial flux permanent magnet-type [34] Effectively eliminate the distance effects between the surface of the coil [35] Modelling of the measured response in feature extraction for non-linear regressions for [36] Simulated of threedimensional diagnosis of real cracks from two dimensional [37] Imperialist competitive algorithm in solve the problem of natural crack shape reconstruction [38] Characterisation of the crack depth [39] The numerical solution in...…”

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2015

“…The choice of the direct problems to be stored rises a complex optimization problem. A sampling strategy based on adaptive mesh generation is reported in [160]. A database generation technique using the sparse grid approach is introduced in [161].…”