Reconstruction of Stress Corrosion Cracks Based on Pulsed Eddy Current Signals

Reconstruction of Stress Corrosion Cracks (SCCs) using conventional Eddy Current Testing method (ECT) shows its limitation especially when dealing with deep SCCs. Recently, a new approach utilizing Pulsed Eddy Current Testing (PECT) signals has been proposed to reconstruct wall thinning defect based...

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Bibliographic Details
Published in2012 Sixth International Conference on Electromagnetic Field Problems and Applications pp. 1 - 4
Main Authors Xiaowei Wang, Shejuan Xie, Li Wang, Yong Li, Zhenmao Chen, Takagi, T.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.06.2012
Subjects
Accuracy
Artificial neural networks
Eddy current testing
Genetic algorithms
Noise
Numerical models
Simulated annealing
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Summary:Reconstruction of Stress Corrosion Cracks (SCCs) using conventional Eddy Current Testing method (ECT) shows its limitation especially when dealing with deep SCCs. Recently, a new approach utilizing Pulsed Eddy Current Testing (PECT) signals has been proposed to reconstruct wall thinning defect based on a deterministic optimization method. It is because PECT is found advantageous over the conventional ECT due to its features of abundant frequency components and large exciting currents. In this study, stochastic optimization methods of neural network, tabu search, simulated annealing and genetic algorithm are introduced to reconstruct the SCC profile from the PECT signals. The efficiency and accuracy of these stochastic methods are evaluated and discussed.
ISBN:9781467313339
1467313335
DOI:10.1109/ICEF.2012.6310346