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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.2 P.130-134

http://doi.org/10.1631/jzus.2006.A0130


Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines


Author(s):  Mao Yi-mei, Que Pei-wen

Affiliation(s):  Institute of Automatic Detection, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   ymmao@sjtu.edu.cn

Key Words:  Time-frequency analysis, Hilbert-Huang transform, Empirical mode decomposition (EMD)


Mao Yi-mei, Que Pei-wen. Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines[J]. Journal of Zhejiang University Science A, 2006, 7(2): 130-134.

@article{title="Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines",
author="Mao Yi-mei, Que Pei-wen",
journal="Journal of Zhejiang University Science A",
volume="7",
number="2",
pages="130-134",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0130"
}

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%T Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines
%A Mao Yi-mei
%A Que Pei-wen
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 2
%P 130-134
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0130

TY - JOUR
T1 - Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines
A1 - Mao Yi-mei
A1 - Que Pei-wen
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 2
SP - 130
EP - 134
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0130


Abstract: 
In this paper, a detection technique for locating and determining the extent of defects and cracks in oil pipelines based on Hilbert-Huang time-frequency analysis is proposed. The ultrasonic signals reflected from defect-free pipelines and from pipelines with defects were processed using hilbert-Huang transform, a recently developed signal processing technique based on direct extraction of the energy associated with the intrinsic time scales in the signal. Experimental results showed that the proposed method is feasible and can accurately and efficiently determine the location and size of defects in pipelines.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Abbate, A., Frankel, J., Das, P., 1995. Wavelet transform signal processing for dispersion analysis of ultrasonic signals. IEEE Ultrasonics Symposium, 1:751-755.

[2] Bettayeb, F., Rachedi, T., Benbartaoui, H., 2004. An improved automated ultrasonic NDE system by wavelet and neuron networks. Ultrasonics, 42(1-9):853-858.

[3] Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N., Tung, C.C., Liu, H.H., 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London, A454:903-995.

[4] Legendre, S., Goyette, J., Massicotte, D., 2001. Ultrasonic NDE of composite material structures using wavelet coefficients. NDT and E International, 34(1):31-37.

[5] Malik, M.A., Saniie, J., 1996. Performance comparison of time frequency distribution for ultrasonic destructive testing. Ultrasonics Symposium, 1:701-704.

[6] Michalodimitrakis, N., Laopoulos, T., 2001. On the Use of Wavelet Transform in Ultrasonic Measurement Systems. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, 1:589-594.

[7] Okamoto, J., Adamowski, J.C., Tsuzuki, M.S.G., Buiochia, F., Camerini, C.S., 1999. Autonomous system for oil pipelines inspection. Mechatronics, 9(7):731-743.

[8] Qidwai, U., Costa, A.H., Chen, C.H., 1999. Detection of ultrasonic NDE signals using time-frequency analysis. Insight, 41:700-703.

[9] Reher, K., Beller, M., Willems, H., Barbian, O.A., 2002. A new generation of ultrasonic in-line inspection tools for detecting, sizing and locating metal loss and cracks in transmission pipelines. IEEE Ultrasonics Symposium, 1:665-671.

[10] Yamani, A., Bettayeb, M., Ghouti, L., 1997. High-order spectra-based deconvolution of ultrasonic NDT signals for defect identification. Ultrasonics, 35(7):525-531.

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