JST  Vol.5 No.1 , March 2015
Mode Recognition of Lamb Wave Detecting Signals in Metal Plate Using the Hilbert-Huang Transform Method
The dispersion and multiple modes characteristics which exist in the propagation of Lamb waves (LW) in metal plates make it extremely hard to analyze and recognize the detection echo signals of defects. As a newly developed time-frequency analysis method in recent years, Hilbert-Huang transform (HHT) is one of the powerful tools to analyze non-stationary signals. The experimental LW detecting system for single aluminum plate is setup in this work, and the LW detecting signals are analyzed by HHT. The overlapped LW detecting signals of different modes are recognized by the means of extracting flight time of intrinsic mode functions (IMFs) after Hilbert transform (HT). The experiment results, agreeing well with the theoretical analysis, indicate that the HHT method can clearly recognize overlapped LW detecting signals of different modes in metal plates, but could hardly recognize that of the same mode. HHT can be an effective method to recognize LW detecting signals of different modes in metal plates.

Cite this paper
Zhang, Y. , Wang, S. , Huang, S. and Zhao, W. (2015) Mode Recognition of Lamb Wave Detecting Signals in Metal Plate Using the Hilbert-Huang Transform Method. Journal of Sensor Technology, 5, 7-14. doi: 10.4236/jst.2015.51002.
[1]   Mansfield, T.L. (1975) Lamb Wave Inspection of Aluminum Sheet. Materials Evaluation, 33, 96-100.

[2]   Proser, W.H. and Seale, M.D. (1999) Time-Frequency Analysis of the Dispersion of Lamb Modes. Journal of Acoustical Society of America, 105, 2669-2676.

[3]   Sinkevich, O.A., Glazkov, V.V. and Kireeva, A.N. (2012) Generalized Rayleigh-Lamb Equation. High Temperature, 50, 517-526.

[4]   Zheng, X.M., Gu, X.H., Shi, L.F. and Shi, Y.W. (2003) Time-Frequency Analysis of Lamb Waves. Acta Acustica, 28, 368-374.

[5]   Hinders, M.K. and Miller, C.A. (2014) Intelligent Feature Selection Techniques for Pattern Classification of Lamb Wave Signals. AIP Conference Proceedings, 1581, 294-301.

[6]   Su, Z.Q. and Ye, L. (2004) An Intelligent Signal Processing and Pattern Recognition Technique for Defect Identification Using an Active Sensor Network. Smart Materials and Structures, 13, 957-969.

[7]   Teng, F., Li, D.Y. and Gao, G.L. (2009) The Mode of Lamb Wave Transmitting in Thin Aluminum Alloy Plate. NDT, 31, 433-437.

[8]   Zhang, H.Y., Fan, S.X. and Lv, D.H. (2008) Application of Hilbert-Huang Transform to Arrival Time Extraction of Multi-M ode Lamb Waves. Journal of Vibration, Measurement & Diagnosis, 28, 216-219.

[9]   Hou, J.D., Leonard, K.R. and Hinders, M.K. (2004) Automatic Multi-Mode Lamb Wave Arrival Time Extraction for Improved Tomographic Reconstruction. Inverse Problems, 20, 1873-1888.

[10]   Ma, D., Shi, L.H. and Cao, H.F. (2013) Combination of Wavelet Transform with EMD to Distinguish Overlapped Lamb Wave Packets. IEEE 11th International Conference on Electronic Measurement & Instruments, Harbin, 16-19 Aug. 2013, 159-165.

[11]   Quek, S.T., Tua, P.S. and Wang, Q. (2003) Detecting Anomalies in Beams and Plate Based on the Hilbert-Huang Transform of Real Signals. Smart Materials and Structures, 12, 447-460.

[12]   Byungseok, Y., Darryll, P. and Ashish, S.P. (2008) Guided Lamb Wave Interrogation of a Curved Composite Plate [0/90] Using the Hilbert-Huang Transform Approach. Proceedings of Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Ellicott City, 28-30 October 2008, 239-246.

[13]   Niethammer, M., Jcaobs, L.J., Qu, J. and Jarzynski, J. (2001) Time-Frequency Representations of Lamb Waves. Journal of Acoustical Society of America, 109, 1841-1847.

[14]   Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H. and Zheng, Q. (1998) The Empirical Mode Decomposition and Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis. The Royal Society, 454, 903-995.

[15]   Darryll, P. and Liming, S. (2006) Structural Health Monitoring Using Empirical Mode Decomposition and the Hilbert Phase. Journal of Sound and Vibration, 294, 97-124.