... 01 2020 30 06 2020 05 11 2020 Non-destructive testing Inverse problems Sensors Tomography is an imaging technique, based on measurements taken at its edge, which allows for the analysis of the interior of the examined object without disturbing the technological process...

... of features in time and frequency domains is proposed and verified. Originality/value – ADR in non-destructive testing is utilized in case of digital radiography and ultrasonic testing. Terahertz inspection with pulsed excitation is reported as a source of many useful information about the internal...

... magnetic Reynolds numbers (0.1-1). This facilitates the possibility to detect subsurface defects in conductive materials. © Emerald Group Publishing Limited 2014 Finite element simulation Inverse problems Non-destructive testing Eddy currents Permanent magnets Lorentz force Non...

... Cables Eddy currents Electromagnetism Homogenization Maxwell’s equations Multiscale problems NDT Non-destructive testing Article Type: 2013 Awards for Excellence From: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic...

...Valdemar Melicher; Peter Sergeant Purpose This paper aims to derive a simple and effective but still a reasonably accurate model for electromagnetic problems with hysteretic magnetic properties and/or induced currents in heterogeneous regions in 2D, meant particularly for non‐destructive testing...

... system for more accurate reconstruction of the crack shape. Design/methodology/approach In this paper, an objective function is formulated using the shape sensitivity information computed from the ECT data. The design of a non‐destructive testing (NDT) sensor is carried out through optimizing...

... of delay time t_D, thus one can say that, the C‐scan is a depth‐specific slice. © Emerald Group Publishing Limited 2011 Non‐destructive testing Composite materials Image processing Signal processing Because of high corrosion resistance, sufficient stiffness...

... reflectometry data. Originality/value This paper fulfils an identified need to determine unknown one‐dimensional profiles and thus plays an important role in electromagnetics, non‐destructive testing, and geophysics. © Emerald Group Publishing Limited 2009 Waves Electromagnetism Non‐destructive...

...Stanislaw Gratkowski; Andrzej Brykalski; Ryszard Sikora; Ahmed Cheriet; Mouloud Feliachi; Souri Mohamed Mimoune Purpose The purpose of this paper is to propose modelling 3D eddy current non destructive testing (EC NDT) problems by the finite volume method (FVM). Furthermore, the movement...

... Publishing Limited 2007 Eddy currents Non‐destructive testing Metals The eddy currents (EC) non‐destructive technique to evaluate flaws in conductive materials based on the impedance variation of a probe coil is one of the most used in electromagnetic inspection (Sollier et al...

...Szabolcs Gyimóthy; József Pávó Purpose To propose a novel method for defect reconstruction in electromagnetic non‐destructive testing (NDT). Design/methodology/approach The inversion method is based on an optimized database that contains the measured signals for some predefined defect...

...). Eddy currents Non‐destructive testing Evaluation In a first part, the formulation of the problem for two cracks is presented. In a second part, the regularisation algorithm is described and its effectiveness is shown. In a final part, some examples of eddy current distribution are given for one...

... Calibration Magnetic fields Non‐destructive testing Sensors For the verification of the developed hybrid method the x‐ and y‐components of the magnetic field in the middle of the exciting coil have been calculated in the plane of the fluxset sensor (see Figure 1). In this example...

... 1999 Capacitance Electrical circuits Non‐destructive testing The research was supported by the INCO – COPERNICUS MANODET project (Contract no. ERBIC15CT960703).The authors thank M. Rebican and T. Vintilescu for their help with the SPICE simulation of the model and D. Rodger...

... of generalised radial basis function neural networks. The choice of the size of the network and the evaluation of its weights are handled by the orthogonal least squares learning algorithm. The merits of the proposed method are illustrated in the light of two examples concerning non‐destructive testing...