TY - JOUR N2 - This paper presents a geomagnetic detection method for pipeline defects using complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet energy product (WEP) – Teager energy operator (TEO), which improves detection accuracy and defect identification ability as encountering strong inference noise. The measured signal is first subtly decomposed via CEEMDAN into a series of intrinsic mode functions (IMFs), which are then distinguished by the Hurst exponent to reconstruct the filtered signal. Subsequently, the scale signals are obtained by using gradient calculation and discrete wavelet transform and are then fused by using WEP. Finally, TEO is implemented to enhance defect signal amplitude, completing geomagnetic detection of pipeline defects. The simulation results created by magnetic dipole in a noisy environment, indoor experiment results and field testing results certify that the proposed method outperforms ensemble empirical mode decomposition (EEMD)-gradient, EEMD-WEP-TEO, CEEMDAN-gradient in terms of detection deviation, peak side-lobe ratio (PSLR) and integrated side-lobe ratio (ISLR). L1 - http://www.czasopisma.pan.pl/Content/111970/PDF/11_MMS-2019-2_06-12.pdf L2 - http://www.czasopisma.pan.pl/Content/111970 PY - 2019 IS - No 2 EP - 361 DO - 10.24425/mms.2019.128363 KW - geomagnetic detection KW - pipeline defects KW - magnetic field KW - filtering KW - data processing A1 - Zhang, Tao A1 - Wang, Xinhua A1 - Chen, Yingchun A1 - Shuai, Yi A1 - Ullah, Zia A1 - Ju, Haiyang A1 - Zhao, Yizhen PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 26 DA - 2019.06.25 T1 - Geomagnetic detection method for pipeline defects based on ceemdan and WEP-TEO SP - 345 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/111970 T2 - Metrology and Measurement Systems ER -