Xiao, Xiang, Gao, Bin, Woo, Wai Lok, Tian, Gui Yun and Xiao, Xiao Ting (2018) Spatial-time-state fusion algorithm for defect detection through eddy current pulsed thermography. Infrared Physics & Technology, 90. pp. 133-145. ISSN 1350-4495
Full text not available from this repository.Abstract
Eddy Current Pulsed Thermography (ECPT) has received extensive attention due to its high sensitive of detectability on surface and subsurface cracks. However, it remains as a difficult challenge in unsupervised detection as to identify defects without knowing any prior knowledge. This paper presents a spatial-time-state features fusion algorithm to obtain fully profile of the defects by directional scanning. The proposed method is intended to conduct features extraction by using independent component analysis (ICA) and automatic features selection embedding genetic algorithm. Finally, the optimal feature of each step is fused to obtain defects reconstruction by applying common orthogonal basis extraction (COBE) method. Experiments have been conducted to validate the study and verify the efficacy of the proposed method on blind defect detection.
Item Type: | Article |
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Uncontrolled Keywords: | Common orthogonal basis extraction, Eddy current pulsed thermography, Genetic algorithm, Independent component analysis |
Subjects: | G400 Computer Science |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Paul Burns |
Date Deposited: | 29 Mar 2019 17:35 |
Last Modified: | 10 Oct 2019 20:48 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/38655 |
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