Spatial-time-step features fusion algorithm in Eddy current pulsed thermography

Xiang Xiao, Bin Gao, W. L. Woo, Gui Yun Tian, Jun Gu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017
Number of pages4
ISBN (Print)9781538616147, 9781538616154
Publication statusPublished - 24 Dec 2018
Event2017 Far East NDT New Technology & Application Forum - Shaanxi Guesthouse, Xi’an, China
Duration: 22 Jun 201724 Jun 2017


Conference2017 Far East NDT New Technology & Application Forum
Abbreviated titleFENDT 2017
Internet address


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