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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29064

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Enhancement of Pulsed Eddy Current Response Based on Power Spectral Density after Continuous Wavelet Transform Decomposition
The main objective of this work is to enhance the Pulsed Eddy Current (PEC) response from the aluminum structure using signal processing. Cracks and metal loss in different structures cause changes in PEC response measurements. In this paper, time-frequency analysis is used to represent PEC response, which generates a large quantity of data and reduce the noise due to measurement. Power Spectral Density (PSD) after Wavelet Decomposition (PSD-WD) is proposed for defect detection. The experimental results demonstrate that the cracks in the surface can be extracted satisfactorily by the proposed methods. The validity of the proposed method is discussed.
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[1] Xuanbing Qiu, Peng Zhang, Jilin Wei, Xiaochao Cui, Chao Wei, Lulu Liu, “Defect classification by pulsed eddy current technique in con-casting slabs based on spectrum analysis and wavelet decomposition,” Sensors and Actuators A 203 (2013) 272–281.
[2] Ilham Zainal Abidin, Catalin Mandache, Gui Yun Tian, Maxim Morozov, “Pulsed eddy current testing with variable duty cycle on rivet joints,” NDT&E International 42 (2009) 599–605.
[3] Darko Vasic, Vedran Bilas, Davorin Ambrus, “Pulsed Eddy-Current Nondestructive Testing of Ferromagnetic Tubes,” IEEE Transactions on Instrumentation and Measurement, Vol. 53, No. 4, August 2004.
[4] X.-W. Dai, R. Ludwig, R. Palanisamy, “Numerical simulation of pulsed eddy-current nondestructive testing phenomena,” IEEE Transactions on Magnetics, Vol. 26, No. 6, November 1990.
[5] B. Yang, F. Luo, Y. Zhang, X. Cao, “Quantification and classification of cracks in aircraft multi-layered structure,” Chinese Journal of Mechanical Engineering 42 (2006) 63–67.
[6] T. Kiwa, T. Kawata, H. Yamada, K. Tsukada, “Fourier-transformed eddy current technique to visualize cross-sections of conductive materials,” NDT & E International 40 (2007) 363–367.
[7] G.Y. Tian, Y. He, I. Adewale, A. Simm, “Research on spectral response of pulsed eddy current and NDE applications,” Sensors and Actuators A: Physical 189 (2013) 313–320.
[8] G. Yang, A. Tamburrino, L. Udpa, “Pulsed eddy-current based giant magnetoresistive system for the inspection of aircraft structures,” IEEE Transactions on Magnetics 46 (2010) 910–917.
[9] Baoling Liua, Pingjie Huangb, Xuan Zenga, Zhinong Lic, “Hidden defect recognition based on the improved ensemble empirical decomposition method and pulsed eddy current testing,” NDT&E International 86 (2017) 175–185.
[10] P. De Gersem, B. De Moor, M. Moonen, “Applications of the continuous wavelet transform in the processing of musical signals,” Digital Signal Processing Proceedings, 1997. DSP 97, 1997 13th International Conference.
[11] N. M. Pindoriya, S. N. Singh,’ S. K. Singh. “An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets”, IEEE Transactions on Power Systems, Vol. 23, No. 3, August 2008.
[12] Sysel, P., Smékal, Z., “Enhanced estimation of power spectral density of noise using the wavelet transform,” IFIP International Federation for Information Processing, vol. 245, pp. 521–532 (2007).
[13] H. Yunze, P. Mengchun, L. Feilu, T. Guiyun, “Reduction of liftoff effects in pulsed eddy current for defect classification,” IEEE Trans. Magn., vol. 47, no. 12, pp. 4753–4760, Dec. 2011.
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