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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abbate, A., Frankel, J., Das, P., 1995. Wavelet transform signal processing for dispersion analysis of ultrasonic signals. IEEE Ultrasonics Symposium, 1:751–755.
Bettayeb, F., Rachedi, T., Benbartaoui, H., 2004. An improved automated ultrasonic NDE system by wavelet and neuron networks. Ultrasonics, 42(1–9):853–858. [doi:10.1016/j.ultras.2004.01.064]
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.
Legendre, S., Goyette, J., Massicotte, D., 2001. Ultrasonic NDE of composite material structures using wavelet coefficients. NDT and E International, 34(1):31–37. [doi:10.1016/S0963-8695(00)00029-3]
Malik, M.A., Saniie, J., 1996. Performance comparison of time frequency distribution for ultrasonic destructive testing. Ultrasonics Symposium, 1:701–704.
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.
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. [doi:10.1016/S0957-4158(99)00031-8]
Qidwai, U., Costa, A.H., Chen, C.H., 1999. Detection of ultrasonic NDE signals using time-frequency analysis. Insight, 41:700–703.
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.
Yamani, A., Bettayeb, M., Ghouti, L., 1997. High-order spectra-based deconvolution of ultrasonic NDT signals for defect identification. Ultrasonics, 35(7):525–531. [doi:10.1016/S0041-624X(97)00023-1]
Author information
Authors and Affiliations
Additional information
Project (No. 2001AA602021) supported by the Hi-Tech Research and Development Program (863) of China
Rights and permissions
About this article
Cite this article
Mao, Ym., Que, Pw. Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines. J. Zhejiang Univ. - Sci. A 7, 130–134 (2006). https://doi.org/10.1631/jzus.2006.A0130
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1631/jzus.2006.A0130