Xiao, Xiang, Gao, Bin, Woo, Wai Lok, Tian, Gui-Yun and Gu, Jun (2018) Spatial-Time-Step Features Fusion Algorithm in Eddy Current Pulsed Thermography. In: FENDT 2017 - 2017 Far East NDT New Technology & Application Forum, 22nd - 26th June 2017, Xi’an, China.
Full text not available from this repository.Abstract
Eddy Current Pulsed Thermograph (ECPT) has received extensive attention due to high sensitivity detection with surface and subsurface cracks. However, it has unsolved detection problem of blind defect location without any prior knowledge. This paper presents a spatial-time-step features fusion algorithm to obtain defects reconstruction of whole specimen by blind scanning. The proposed method is intended to use features extraction by independent component analysis (ICA) and features selection by skewness. Finally, the optimal feature of each step is fused to obtain defects reconstruction image by using common orthogonal basis extraction (COBE). Experiments have been conducted to validate this study and it shows that this algorithm has a great effect on feature selection.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Skewness, common orthogonal basis extraction, eddy current pulsed thermograph, independent component analysis |
Subjects: | H900 Others in Engineering |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Paul Burns |
Date Deposited: | 01 Apr 2019 17:11 |
Last Modified: | 10 Oct 2019 20:47 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/38678 |
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