A comparative study of principal component analysis and independent component analysis in eddy current pulsed thermography data processing

Libing Bai*, Bin Gao, Shulin Tian, Yuhua Cheng, Yifan Chen, Gui Yun Tian, W. L. Woo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Eddy Current Pulsed Thermography (ECPT), an emerging Non-Destructive Testing and Evaluation technique, has been applied for a wide range of materials. The lateral heat diffusion leads to decreasing of temperature contrast between defect and defect-free area. To enhance the flaw contrast, different statistical methods, such as Principal Component Analysis and Independent Component Analysis, have been proposed for thermography image sequences processing in recent years. However, there is lack of direct and detailed independent comparisons in both algorithm implementations. The aim of this article is to compare the two methods and to determine the optimized technique for flaw contrast enhancement in ECPT data. Verification experiments are conducted on artificial and thermal fatigue nature crack detection.

Original languageEnglish
Article number104901
JournalReview of Scientific Instruments
Volume84
Issue number10
DOIs
Publication statusPublished - 3 Oct 2013

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