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Transient-spatial pattern mining of eddy current pulsed thermography using wavelet transform

An Erratum to this article was published on 12 December 2014


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.


  1. CHAND S. Review carbon bers for composites[J]. Journal of Materials Science, 2000, 35(6): 1303–1313.

    Article  Google Scholar 

  2. GARNIER C, PASTOR M L, EYMA F, et al. The detection of aeronautical defects in situ on composite structures using non-destructive testing[J]. Composite Structures, 2011, 93(5): 1328–1336.

    Article  Google Scholar 

  3. ZHOU Zhenggan, LIU Siming. Nonlinear ultrasonic techniques used in nondestructive testing A review[J]. Journal of Mechanical Engineering, 2011, 47(8): 2–11. (in Chinese)

    Article  Google Scholar 

  4. YAN Bingsheng, LIU Ziran, ZHANG Yuechun, et al. Experimental study of early fatigue nonlinear ultrasonic detection in magnesium alloy[J]. Journal of Mechanical Engineering, 2013, 49(4): 20–24.

    Article  Google Scholar 

  5. YANG Binfeng, LUO Feilu, PAN Mengchun. Identification of corrosion fringe in pulsed eddy current nondestructive testing[J]. Chinese Journal of Mechanical Engineering, 2008, 44(12): 75–79. (in Chinese)

    Article  Google Scholar 

  6. TIAN Guiyun, SOPHIAN A. Reduction of lift-off effects for pulsed eddy current NDT[J]. NDT & E International, 2005, 38(4): 319–324.

    Article  Google Scholar 

  7. KORDATOS E Z, AGGELIS D G, MATIKAS T E. Monitoring mechanical damage in structural materials using complimentary NDE techniques based on thermography and acoustic emission[J]. Composites Part B: Engineering, 2012, 43(6): 2676–2686.

    Article  Google Scholar 

  8. LIU Junyan, TANG Qingju, LIU Xun, et al. Research on the quantitative analysis of subsurface defects for non-destructive testing by lock-in thermography[J]. NDT & E International, 2012, 45(1): 104–110.

    Article  Google Scholar 

  9. LI Guohua, WU Lixin, WU Miao, et al. Current status and applications of infrared thermography[J]. Infrared and Laser Engineering, 2004, 33(3): 227–230.

    Google Scholar 

  10. GHASR M T, ABOU-KHOUSA M, KHARKOVSKY S, et al. Portable real-time microwave camera at 24 GHz[J]. IEEE Trans. Antennas and Propagation, 2012, 60(2): 1114–1125.

    Article  Google Scholar 

  11. WANG Qi, CHEN Zhiqiang, WU Xiaoping, et al. Review of X-ray security inspection technology[J]. Computerized Tomography Theory and Applications, 2004, 13(1): 32–37.

    Google Scholar 

  12. EGBERT A. X-ray nanoCT of electronic components: Visualizing of internal 3D-structures with submicrometer resolution[C]// Electronics System-Integration Technology Conference, Greenwich, UK, September 1–4, ESTC, 2008: 399–402.

    Google Scholar 

  13. TIAN Guiyun, HE Yunze, ADEWALE I, et al. Research on spectral response of pulsed eddy current and NDE applications[J]. Sensors and Actuators A: Physical, 2013, 189: 313–320.

    Article  Google Scholar 

  14. WILSON J, TIAN Guiyun, ABIDIN I Z, et al. Modelling and evaluation of eddy current stimulated thermography[J]. Non-destructive Testing and Evaluation, 2010, 25(3): 205–218.

    Article  Google Scholar 

  15. WILSON J, TIAN Guiyun, ABIDIN I Z, et al. Pulsed eddy current thermography: system development and evaluation[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2010, 52(2): 87–90.

    Article  Google Scholar 

  16. WEEKES B, ALMOND D P, CAWLEY P, et al. Eddy-current induced thermography-probability of detection study of small fatigue cracks in steel, titanium and nickel-based super alloy[J]. NDT & E International, 2012, 49: 47–56.

    Article  Google Scholar 

  17. ZENZINGER G, BAMBERG J, SATZGER W, et al. Thermographic crack detection by eddy current excitation[J]. Non-destructive Testing and Evaluation, 2007, 22(2–3): 101–111.

    Article  Google Scholar 

  18. WILSON J, TIAN Guiyun, MUKRIZ I, et al. PEC thermography for imaging multiple cracks from rolling contact fatigue[J]. NDT & E International, 2011, 44(6): 505–512.

    Article  Google Scholar 

  19. ADEWALE I D, TIAN Guiyun. Decoupling the influence of permeability and conductivity in pulsed eddy current measurements[J]. IEEE Transaction on Magnetics, 2013, 49(3): 1119–1127.

    Article  Google Scholar 

  20. GUO Xingwang, VAVILOV V, SHIRYAEV V. Thermal nondestructive testing of corrosion in aviation aluminum panels and data processing algorithms[J]. Journal of Mechanical Engineering, 2009, 45(3): 208–214. (in Chinese)

    Article  Google Scholar 

  21. MARINETTI S, GRINZATO E, BISON P G, et al. Statistical analysis of IR thermographic sequences by PCA[J]. Infrared Physics & Technology, 2004, 46(1–2): 85–91.

    Article  Google Scholar 

  22. RAJIC N. Principal component thermography for flaw contrast enhancement and flaw depth characterization in composite structures[J]. Composite Struct., 2002, 58: 521–528.

    Article  Google Scholar 

  23. KHAN A A, VRABIE V, MARS J I, et al. A source separation technique for processing of thermometric data from fiber optic DTS measurement for water leakage identification in dikes[J]. IEEE Sensors Journal, 2008, 8(7): 1118–1129.

    Article  Google Scholar 

  24. GAO Bin, BAI Libing, TIAN Guiyun, et al. Automatic defect identi cation of eddy current pulsed thermography using single channel blind source separation[J]. IEEE Transactions on Instrumentation and Measurement, 2014, 63(4): 913–922.

    Article  Google Scholar 

  25. REN Wenwei, LIU Jia, TIAN Guiyun, et al. Quantitative non-destructive evaluation method for impact damage using eddy current pulsed thermography[J]. Composites Part B: Engineering, 2013, 54: 169–179.

    Article  Google Scholar 

  26. HE Yunze, PAN Mengchun, LUO Feilu. Defect characterization based on heat diffusion using induction thermography testing[J]. Rev. Sci. Instrum, 2012, 83: 104702-1–104702-10.

    Article  Google Scholar 

  27. CHENG Liang, TIAN Guiyun. Pulsed electromagnetic NDE for defect detection and characterization in composites[C]//IEEE International Instrumentation and Measurement Technology Conference, Graz, AUT, May 13–16, 2012: 1902–1907.

  28. BUI H K, GUILLAUME W, DIDIER T, et al. 3-D modeling of thermo inductive non destructive testing method applied to multilayer composite[J]. IEEE Transactions on Magnetics, 2013, 49(5): 1949–1952.

    Article  Google Scholar 

  29. GUO Xingwang, LV Zhenxia, GAO Gongchen. Image reconstruction and enhancement of pulsed infrared thermography of CFRP laminates[J]. Infrared Technology, 2006, 28(5): 299–305.

    Google Scholar 

  30. KAMBOH A M, RAETZ M, OWEISS K G, et al. Area-power efficient VLSI implementation of multichannel DWT for data compression in implantable neuroprosthetics[J]. IEEE Transaction on Biomedical Circuits and Systems, 2007, 1(2): 128–135.

    Article  Google Scholar 

  31. CHANG SG, YU B, VETTERLI M. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Transactions on Image Processing, 2000, 9(9): 1532–1546.

    Article  MathSciNet  MATH  Google Scholar 

  32. ARIVAZHAGAN S, GANESAN L. Texture classification using wavelet transform[J]. Pattern Recognition Letters, 2003, 24(9–10): 1513–1521.

    Article  MATH  Google Scholar 

  33. HLAWATSCH F, AUGER F. Time-frequency analysis[M]. Great Britain: Antony Rowe Ltd, Chippenham, Wiltshire, 2010.

    Google Scholar 

  34. CHENG Liang, TIAN Guiyun. Transient thermal behaviour of eddy-current pulsed thermography for non-destructive evaluation of composites[J]. IEEE Transactions on Instrumentation and Measurement, 2013, 62(5): 1215–1222.

    Article  MathSciNet  Google Scholar 

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Correspondence to Bin Gao.

Additional information

Supported by National Natural Science Foundation of China(Grant No. 51377015), China Post Doctor Project(Grant No. 136413), and Science & Technology Department of Sichuan Province, China(Grant No. 2013HH0059)

YANG Hailong, born in 1988, is currently a master candidate at School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include instrument science and non-destructive testing and evaluation.

GAO Bin, born in 1983, is currently an associate professor at School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China. He received his PhD degree from Newcastle University. His main research interests include sensors, signal processing, machine learning, data mining for non-destructive testing and evaluation.

TIAN Guiyun, born in 1965, is currently a professor and a PhD candidate supervisor at School of Electrical and Electronic Engineering, Newcastle University, UK. He received his PhD degree from University of Derby, Derby, UK, in 1998. Currently, he is “The Thousand Talents” professor with the School of Automation Engineering, University of Electronic Science and Technology of China. His mainly research interests include electromagnetic sensors, sensor array and sensor network, electromagnetic non-destructive testing and evaluation, advanced signal processing monitoring systems and applications.

REN Wenwei, born in 1968, is currently a teacher at School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China. Her main research interests include material science and non-destructive testing and evaluation.

WOO Wailok, born in 1972, is currently an associate professor and a PhD candidate supervisor at School of Electrical and Electronic Engineering, Newcastle University, UK. He is the director of Operations for the International Branch of the University, and head of the Machine Learning Centre for Sensing and Signal Processing. His research interests include intelligent systems and algorithms, sensing and signal processing for non-destructive testing and evaluation.

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Yang, H., Gao, B., Tian, G. et al. Transient-spatial pattern mining of eddy current pulsed thermography using wavelet transform. Chin. J. Mech. Eng. 27, 768–778 (2014).

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  • non-destructive testing and evaluation
  • composite impact damage detection
  • wavelet transform
  • energy driven approach
  • transient-spatial analysis