Guided Waves Mode Discrimination in Pipes NDT Based on the Matching Pursuit Method
Affiliation(s)
College of Architecture and Power, Naval University of Engineering, Wuhan, China. College of Architecture and Power, Naval University of Engineering, Wuhan, China..
College of Architecture and Power, Naval University of Engineering, Wuhan, China. College of Architecture and Power, Naval University of Engineering, Wuhan, China..
ABSTRACT
Ultrasonic guided wave have the multi-modes and dispersive characteristics, and its modes are easy to be converted at boundary or when running into defects in pipes, which makes the discrimination of different guided waves modes of the reflection signals in pipes NDT very hard. In this work, firstly, the experiments are carried out to test two kinds of stainless steel pipes by applying guided waves NDT, one is integrated pipe and another is non-integrated pipe with a small hole defect, and the detected guided waves echo signals are respectively obtained. Secondly, the measured signals are processed by matching pursuit method and the Chirplet matching atom parameters are calculated. By calculating the time-frequency distributions spectrum of detected guided waves echo signals, torsional, flexural and longitudinal guided waves modes are identified from the intact pipe, and the two wave-packets with torsional and flexural guided waves modes are also identified from the pipe with hole defect. The results showed that the matching pursuit method has a tremendous advantage to identify different guided waves modes in pipes nondestructive testing.
Ultrasonic guided wave have the multi-modes and dispersive characteristics, and its modes are easy to be converted at boundary or when running into defects in pipes, which makes the discrimination of different guided waves modes of the reflection signals in pipes NDT very hard. In this work, firstly, the experiments are carried out to test two kinds of stainless steel pipes by applying guided waves NDT, one is integrated pipe and another is non-integrated pipe with a small hole defect, and the detected guided waves echo signals are respectively obtained. Secondly, the measured signals are processed by matching pursuit method and the Chirplet matching atom parameters are calculated. By calculating the time-frequency distributions spectrum of detected guided waves echo signals, torsional, flexural and longitudinal guided waves modes are identified from the intact pipe, and the two wave-packets with torsional and flexural guided waves modes are also identified from the pipe with hole defect. The results showed that the matching pursuit method has a tremendous advantage to identify different guided waves modes in pipes nondestructive testing.
Cite this paper
Y. Wang, C. Shen, L. Zhu and F. Sun, "Guided Waves Mode Discrimination in Pipes NDT Based on the Matching Pursuit Method," Journal of Analytical Sciences, Methods and Instrumentation, Vol. 2 No. 3, 2012, pp. 149-155. doi: 10.4236/jasmi.2012.23024.
Y. Wang, C. Shen, L. Zhu and F. Sun, "Guided Waves Mode Discrimination in Pipes NDT Based on the Matching Pursuit Method," Journal of Analytical Sciences, Methods and Instrumentation, Vol. 2 No. 3, 2012, pp. 149-155. doi: 10.4236/jasmi.2012.23024.
References
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[1] F. C. He, Y. F. Gao, Z. G. Zhou, et al., “An Overview of Testing Application of Wavelet in Guided Waves,” 12th Asia-Pacific Conference on Non-Destructive Testing, Auckland, 2006. [2] D. Alleyne and P. Cawley, “A Two-Dimensional Fourier Transform Method for the Measurement of Propagating Multimode Signals,” Journal of the Acoustical Society of America, Vol. 89, No. 3, 1991, pp. 1159-1168. doi:10.1121/1.400530 [3] Y. X. Sun, B. Wu and C. F. He, “Application of Time-Frequency Analysis in Propagation Characteristic of Guided Waves in Rod,” Chinese Journal of Scientific Instrument, Vol. 27, No. 6, 2006, pp. 1315-1317. [4] W. W. Zhang, Z. H. Wang and H. W. Ma, “Correlation Analysis of Ultrasonic Guided Wave in Damaged Pipe,” Journal of Jinan University, Natural Science, Vol. 30, No. 3, 2009, pp. 269-272. [5] J. Zou, X. J. WU, J. Xu, et al., “Identification of Magnetostrictive Guided Wave Signal Based on Duffing Chaotic Oscillators,” Nondestructive Testing, Vol. 30, No. 9, 2008, pp. 600-603. [6] S. G. Mallat and Z. F. Zhang, “Matching Pursuit with Time-Frequency Dictionaries,” IEEE Transaction on Signal Processing, Vol. 41, No. 2, 1993, pp. 3397-3414. doi:10.1109/78.258082 [7] N. Ruiz-Reyes, P. Vera-Candeas and J. Curpian-Aloma, “Matching Pursuit-Based Approach for Ultrasonic Flaw Detection,” Signal Processing, Vol. 86, No. 5, 2006, pp. 962-970. doi:10.1016/j.sigpro.2005.07.019 [8] D. Wei Wang, X. Y. Ma, X. P. Guan, et al., “Matching Pursuits Based Feature Extraction with Reduced Aspect Sensitivity for Ultra Wide-Band Radar Target Identification,” CIE international Conference on Radar, Beijing, 2006, pp. 1-4. [9] S. B. Kim, A. Chattopadhyaya and A. D. Nguyen, “The Use of Matching Pursuit Decomposition for Damage Detection and Localization in Complex Structures,” Proceeding of SPIE, Vol. 7981, No. 29, 2011, pp. 1-9. [10] A. Papandreou-Suppappola and S. B. Suppappola, “Analysis and Classification of Time-Varying Signals with Multiple-Frequency Structures,” IEEE Signal Processing Letters, Vol. 9, No. 3, 2002, pp. 92-95. doi:10.1109/97.995826 [11] R. Mazhar, P. D. Gader and J. N. Wilson, “A Matching Pursuits Based Similarity Measure for Fuzzy Clustering and Classification of Signals,” IEEE International Conference on Fuzzy Systems, Hong Kong, 1-6 June 2008, pp. 1-4. [12] N. Ruiz-Reyes, P. Vera-Candeas and J. Curpian-Aloma, “High Resolution Pursuit for Detecting Flaw Echoed Close to the Material Surface in Ultrasonic NDT,” NDT&E International, Vol. 9, No. 39, 2006, pp. 487-492 doi:10.1016/j.ndteint.2006.02.002 [13] S. Jaggi, W. C. Karl and S. Mallat, “High Resolution Pursuit for Feature Extraction,” Applied and Computational Harmonic Analysis, Vol. 5, No. 4, 1998, pp. 428-449. doi:10.1006/acha.1997.0239 [14] C. G. Benar, T. Papadoulo, B. Torresani, et al., “Consensus Matching Pursuit for Multi-Trial EEG Signals,” Journal of Neuroscience Methods, Vol. 180, No. 1, 2009, pp. 161-170. doi:10.1016/j.jneumeth.2009.03.005 [15] P. Xu and D. Z. Yao, “Two Dictionaries Matching Pursuit for Sparse Decomposition of Signals,” Signal Processing, Vol. 86, No. 11, 2006, pp. 3472-3480. doi:10.1016/j.sigpro.2006.05.006 [16] J. C. Hong, K. H. Sun and Y. Y. Kim, “The Matching Pursuit Approach Based on the Modulated Gaussian Pulse for Efficient Guided-Wave Damage Inspection,” Smart Structures and Materials, Vol. 14, No. 4, 2005, pp. 548-5605. doi:10.1088/0964-1726/14/4/013 [17] A. Raghavan and C. E. S. Cesnik, “Guided-Wave Signal Processing Using Chirplet Matching Pursuit and Mode Correlation for Structural Health Monitoring,” Smart Materials and Structures, Vol. 16, No. 2, 2007, pp. 355-366. doi:10.1088/0964-1726/16/2/014 [18] F. C. Li, G. Meng, L. Ye, et al., “Dispersion Analysis of Lamb Waves and Damage Detection for Aluminum Structures Using Ridge in the Time-Scale Domain,” Measurement Science and Technology, Vol. 20, No. 9, 2009, pp. 1-10. doi:10.1088/0957-0233/20/9/095704 [19] Y. M. Wang, Y. H. Kang and X. J. Wu, “Application of STFT and HOS to Analyse Magnetostrictively Generated Pulse-Echo Signals of a Steel Pipe Defect,” NDT&E International, Vol. 39, No. 4, 2006, pp. 289-292. doi:10.1016/j.ndteint.2005.08.007