Please wait a minute...
ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (2): 130-134    DOI: 10.1631/jzus.2006.A0130
Computer & Information Science     
Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines
Mao Yi-mei, Que Pei-wen
Institute of Automatic Detection, Shanghai Jiao Tong University, Shanghai 200030, China
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

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.

Key words： Time-frequency analysis      Hilbert-Huang transform      Empirical mode decomposition (EMD)     
Received: 11 October 2004     
CLC:  TB52+9  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Mao Yi-mei
Que Pei-wen
Cite this article:

Mao Yi-mei, Que Pei-wen. Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(2): 130-134.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A0130     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I2/130

[1] Wen-yang Duan, Li-min Huang, Yang Han, De-tai Huang. A hybrid EMD-AR model for nonlinear and non-stationary wave forecasting[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(2): 115-129.
[2] Wen-yang Duan, Li-min Huang, Yang Han, Ya-hui Zhang, Shuo Huang. A hybrid AR-EMD-SVR model for the short-term prediction of nonlinear and non-stationary ship motion[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(7): 562-576.
[3] Qi ZHANG, Pei-wen QUE, Wei LIANG. Applying sub-band energy extraction to noise cancellation of ultrasonic NDT signal[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(8): 1134-1140.
[4] Jia-qiang YANG, Jin HUANG, Tong LIU. Diagnosis of stator faults in induction motor based on zero sequence voltage after switch-off[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(2): 165-172.
[5] YAN Zhi-guo, WANG Zhi-zhong, REN Xiao-mei. Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(8): 1246-1255.
[6] XIONG Chang-zhen, XU Jun-yi, ZOU Jian-cheng, QI Dong-xu. Texture classification based on EMD and FFT[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(9): 1516-1521.