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Transient-Spatial Pattern Mining of Eddy Current Pulsed Thermography Using Wavelet Transform

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


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Eddy current pulsed thermography(ECPT) is an emerging Non-destructive testing and evaluation(NDT & E) technique, which uses hybrid eddy current and thermography NDT & E techniques that enhances the detectability from their compensation. Currently, this technique is limited by the manual selection of proper contrast frames and the issue of improving the efficiency of defect detection of complex structure samples remains a challenge. In order to select a specific frame from transient thermal image sequences to maximize the contrast of thermal variation and defect pattern from complex structure samples, an energy driven approach to compute the coefficient energy of wavelet transform is proposed which has the potential of automatically selecting both optimal transient frame and spatial scale for defect detection using ECPT. According to analysis of the variation of different frequency component and the comparison study of the detection performance of different scale and wavelets, the frame at the end of heating phase is automatically selected as an optimal transient frame for defect detection. In addition, the detection capabilities of the complex structure samples can be enhanced through proper spatial scale and wavelet selection. The proposed method has successfully been applied to low speed impact damage detection of carbon fibre reinforced polymer(CFRP) composite as well as providing the guidance to improve the detectability of ECPT technique.

Publication metadata

Author(s): Yang HL, Gao B, Tian GY, Ren WW, Woo WL

Publication type: Article

Publication status: Published

Journal: Chinese Journal of Mechanical Engineering

Year: 2014

Volume: 27

Issue: 4

Pages: 768-778

Print publication date: 01/07/2014

Online publication date: 25/07/2014

Acceptance date: 21/04/2014

ISSN (print): 1000-9345

ISSN (electronic): 2192-8258

Publisher: Springer


DOI: 10.3901/CJME.2014.0526.100


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Funder referenceFunder name
136413China Post Doctor Project
2013HH0059Science & Technology Department of Sichuan Province, China
51377015National Natural Science Foundation of China