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CLC number: TB52+9
On-line Access: 2024-08-27
Received: 2023-10-17
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Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines
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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"
}
%0 Journal Article
%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.
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