Rapid prediction of eddy current testing signals using A−φ method and database

Chen, Zhenmao; Miya, Kenzo; Kurokawa, Masaaki

doi:10.1016/s0963-8695(98)00025-5

Cited by 66 publications

(24 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To deal with three-dimensional wall thinning (volume defect) geometry, the conventional fast simulator for crack like defects [15][16][17] has been upgraded. In addition to the improved database approach, the fast PECT forward solver is also upgraded with the aid of an interpolation strategy.…”

Section: Fast Forward Solver For Pect Signal Simulationmentioning

confidence: 99%

“…Recently, a high efficiency 3D numerical tool (a fast forward solver) to predict PECT signals has been developed [14] by authors. This 3D code is based on a frequency domain computation scheme and employs a database strategy which is similar to that developed for the fast simulation of single frequency ECT signals [15][16][17]. The 3D code gives a good basis for the quantitative wall thinning analysis based on inversion techniques.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative non-destructive evaluation of wall thinning defect in double-layer pipe of nuclear power plants using pulsed ECT method

Xie

Chen

Takagi

et al. 2015

NDT & E International

Self Cite

View full text Add to dashboard Cite

Section: Fast Forward Solver For Pect Signal Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative non-destructive evaluation of wall thinning defect in double-layer pipe of nuclear power plants using pulsed ECT method

Xie

Chen

Takagi

et al. 2015

NDT & E International

Self Cite

View full text Add to dashboard Cite

“…A fast-forward FEM-BEM analysis solver which uses database [8] is adopted here for the ECT signals simulation due to a crack with a given conductivity.…”

Section: Ect Signal Simulationmentioning

confidence: 99%

“…Fig. 5 shows the result obtained for the crack with parameters [8,13,1,2,6,5] when an expansion is applied on OX axis and a double contraction is applied on OZ. …”

Section: Inverse Problem and Pso Algorithmsmentioning

confidence: 99%

Advanced PSO algorithms and local search strategies for NDT-ECT inverse problems

Duca

Rebican

Duca

et al. 2014

2014 International Symposium on Fundamentals of Electrical Engineering (ISFEE)

View full text Add to dashboard Cite

This paper studies the efficiency of some advanced Particle Swarm Optimization (PSO) algorithms, such as Standard PSO and Quantum-behaved PSO, to solve a nondestructive eddy current (NDT-ECT) inverse problem. The inverse problem is formulated as an optimization problem, aiming to minimize the distance between the true 2D ECT signal, produced by the real crack and the simulated signal, produced by a potential solution (crack). To increase the efficiency of the PSO based methods, enhancements based on problem specific local search strategies are also tested in order to speed up the optimization process. The inversion schemes are compared in the three-dimensional reconstruction of partially conductive cracks, which have a uniform conductivity smaller than the conductivity of the base material and a cuboid shape.Index Terms-inverse problems, local search, nondestructive eddy current testing, particle swarm optimization

show abstract

“…Since the database localizes the analysis domain into inside defects, the number of unknowns is drastically reduced, and the solver provides eddy current signals within a short time. Readers are also referred to published materials [6,7] for a detailed explanation of the solver, including the discretization process in an FEM-BEM coupling method based upon the A-formulation.…”

Section: Stochastic Approaches For the Inversion Of Electromagnetic Nmentioning

confidence: 99%

Three-dimensional inversion of volumetric defects profiles from electromagnetic nondestructive testing signals by means of stochastic methods with the aid of parallel computation

Yusa¹,

Rebican²,

Chen³

et al. 2005

Inverse Problems in Science and Engineering

Self Cite

View full text Add to dashboard Cite

This study applies five stochastic inversion methods to the reconstruction of three-dimensional volumetric defect regions from eddy current testing signals, and evaluates their efficiencies in relation to this problem. The five stochastic methods considered here are iterative local search, tabu search, simple genetic algorithm, parameter-free genetic algorithms, and simulated annealing. Since stochastic methods require evaluation of many solution candidates, simulations here are performed on a supercomputer aided by parallel computation to avoid too lengthy computational times. Three-dimensional volumetric defects in a thin flat conductive plate are considered. The results of this study demonstrate that the stochastic methods applied to eddy current inversion problems are highly compatible with parallel computation, and that computational time can be significantly shortened with the use of parallel computation. Among the five algorithms adopted in this study, tabu search and simulated annealing provided good results whereas genetic algorithms had very poor performances.

show abstract

Rapid prediction of eddy current testing signals using A−φ method and database

Cited by 66 publications

References 3 publications

Quantitative non-destructive evaluation of wall thinning defect in double-layer pipe of nuclear power plants using pulsed ECT method

Quantitative non-destructive evaluation of wall thinning defect in double-layer pipe of nuclear power plants using pulsed ECT method

Advanced PSO algorithms and local search strategies for NDT-ECT inverse problems

Three-dimensional inversion of volumetric defects profiles from electromagnetic nondestructive testing signals by means of stochastic methods with the aid of parallel computation

Contact Info

Product

Resources

About