NON-CONTACT GEOMAGNETIC LOCALIZATION OF PIPELINE DEFECTS USING EMPIRICAL MODE DECOMPOSITION AND MAGNETIC GRADIENT TENSOR

被引:0
作者
Zhang, Tao [1 ]
Wang, Xinhua [1 ]
Chen, Yingchun [1 ]
Ullah, Zia [1 ]
Zhao, Yizhen [1 ]
机构
[1] Beijing Univ Technol, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 12TH INTERNATIONAL PIPELINE CONFERENCE, 2018, VOL 1 | 2018年
基金
中国博士后科学基金;
关键词
Non-contact geomagnetic localization; pipeline defects; empirical mode decomposition (EMD); magnetic gradient tensor;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Non-contact geomagnetic anomaly detection, as one of passive non-destructive testing (NDT) techniques, can be used to locate pipeline defects, while its accuracy is affected by random noise and detection orientation. In order to extract effective geomagnetic anomaly signals of pipeline defects, a method based on empirical mode decomposition (EMD) and magnetic gradient tensor was studied. In order to filter random noise, EMD was performed to self-adaptively decompose magnetic field signals into a series of intrinsic mode functions (IMFs), and then Hurst exponent was implemented to exclude false modes; The calculation method of magnetic gradient tensor modulus (MGTM) was proposed to obtain precise defect locations according to tensor symmetry; Subsequently, the remote pipeline defect model was built based on the magnetic dipole theory, and the relationship between detection orientation and MGTM was discussed. The experimental results showed that the proposed method could realize high precision and reliable non-contact geomagnetic localization of pipeline defects.
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页数:7
相关论文
共 10 条
[1]  
Abdelrahman EM, 1997, ARAB J SCI ENG, V22, P3
[2]   The use of the Hurst exponent to predict changes in trends on the Warsaw Stock Exchange [J].
Domino, Krzysztof .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (01) :98-109
[3]   Sea-Level Acceleration Based on US Tide Gauges and Extensions of Previous Global-Gauge Analyses [J].
Houston, J. R. ;
Dean, R. G. .
JOURNAL OF COASTAL RESEARCH, 2011, 27 (03) :409-417
[4]   Experimental study on the corrosion testing of a buried metal pipeline by transient electromagnetic method [J].
Hu, Bo ;
Yu, Runqiao ;
Liu, Jian .
ANTI-CORROSION METHODS AND MATERIALS, 2016, 63 (04) :262-268
[5]   The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].
Huang, NE ;
Shen, Z ;
Long, SR ;
Wu, MLC ;
Shih, HH ;
Zheng, QN ;
Yen, NC ;
Tung, CC ;
Liu, HH .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995
[6]   Estimation of Depth and Length of Defects From Magnetic Flux Leakage Measurements: Verification With Simulations, Experiments, and Pigging Data [J].
Kandroodi, Mojtaba Rostami ;
Araabi, Babak Nadjar ;
Bassiri, Maisam Mansoob ;
Ahmadabadi, Majid Nili .
IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (03)
[7]   A comparison of sea level projections based on the observed and reconstructed sea level data around the Korean Peninsula [J].
Kim, Kwang-Yul ;
Kim, Yeonjoo .
CLIMATIC CHANGE, 2017, 142 (1-2) :23-36
[8]   Discrete wavelet transform-based denoising technique for advanced state-of-charge estimator of a lithium-ion battery in electric vehicles [J].
Lee, Seongjun ;
Kim, Jonghoon .
ENERGY, 2015, 83 :462-473
[9]   Wavelet Denoising Method for Improving Detection Performance of Distributed Vibration Sensor [J].
Qin, Zengguang ;
Chen, Liang ;
Bao, Xiaoyi .
IEEE PHOTONICS TECHNOLOGY LETTERS, 2012, 24 (07) :542-544
[10]   Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review [J].
Sharma, Rajib ;
Vignolo, Leandro ;
Schlotthauer, Gaston ;
Colominas, M. A. ;
Rufiner, H. Leonardo ;
Prasanna, S. R. M. .
SPEECH COMMUNICATION, 2017, 88 :39-64