| Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines |
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| 作者姓名： | 毛义梅 阕沛文 |
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| 作者单位： | Institute of Automatic Detection，Institute of Automatic Detection Shanghai Jiao Tong University Shanghai 200030 China Shanghai Jiao Tong University Shanghai 200030 China |
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| 基金项目： | Project (No. 2001AA602021) supported by the Hi-Tech Researchand Development Program (863) of China |
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| 摘 要： | INTRODUCTION Ensuring the integrity and safe operation of oil pipelines network is critical for ensuring the trans- portation of one of the most important forms of en- ergy. An inspection vehicle, called intelligent pig, which employs ultrasonic non-destructive testing technique is often used to inspect oil transmission pipelines (Okamoto et al., 1999; Reher et al., 2002). The ultrasonic detection principle involves the fun- damental concept that a propagating wave will be reflected and/o…
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| 关 键 词： | 输油管道 时频分析 超声无损探伤 Hilbert-Huang信号处理 |
| 收稿时间： | 2004-10-11 |
| 修稿时间： | 2005-03-13 |
Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines |
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| Yi-mei Mao,Pei-wen Que.Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines[J].Journal of Zhejiang University Science,2006,7(2):130-134. |
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| Authors: | Yi-mei Mao Pei-wen Que |
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| Institution: | (1) Institute of Automatic Detection, Shanghai Jiao Tong University, Shanghai, 200030, China |
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| 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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| Keywords: | Time-frequency analysis Hilbert-Huang transform Empirical mode decomposition (EMD) |
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