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- W2903002364 abstract "ABSTRACTPulsed eddy current (PEC) technology has become a burgeoning method for detection and analysis of multi-layer conductive structures owing to rich time and frequency domain information presented by PEC signals. In this study, PEC technique is applied to characterise hidden-defect parameters while nondestructively inspecting multi-layer structures. A projection pursuit (PP) feature extraction method based on the information divergence index is investigated to effectively analyse PEC signals. An improved accelerating genetic algorithm is adopted to find the optimal projection direction. The signal’s dimension is reduced with minimal information loss while the data’s structure is preserved to the greatest degree. The features extracted on the basis of PP are simultaneously employed in crack localisation and crack length quantitative evaluation combined with a SVM classifier. The theoretical analysis and experimental results demonstrate that compared with the principal component analysis method, the fe..." @default.
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- W2903002364 date "2018-11-26" @default.
- W2903002364 modified "2023-10-04" @default.
- W2903002364 title "Defect localisation and quantitative identification in multi-layer conductive structures based on projection pursuit algorithm" @default.
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- W2903002364 doi "https://doi.org/10.1080/10589759.2018.1550488" @default.
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