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Spatial-time-state fusion algorithm for defect detection through eddy current pulsed thermography

Lookup NU author(s): Professor Bin Gao, Dr Wai Lok Woo, Professor Gui Yun TianORCiD

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Abstract

© 2018 Elsevier B.V. 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.

Publication metadata

Author(s): Xiao X, Gao B, Woo WL, Tian GY, Xiao XT

Publication type: Article

Publication status: Published

Journal: Infrared Physics and Technology

Year: 2018

Volume: 90

Pages: 133-145

Print publication date: 01/05/2018

Online publication date: 09/03/2018

Acceptance date: 28/02/2018

ISSN (print): 1350-4495

Publisher: Elsevier B.V.

URL: https://doi.org/10.1016/j.infrared.2018.02.012

DOI: 10.1016/j.infrared.2018.02.012

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