지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.12
- 수록면
- 556 - 566 (11page)
- DOI
- 10.4283/JMAG.2020.25.4.556
이용수
초록· 키워드
오류제보하기
As the main transportation mode of oil and gas, oil and gas pipelines play an irreplaceable role in energy transportation. Metal magnetic memory detection technology can detect early stress concentration and invisible damage, and can be detected under the action of the geomagnetic field, without the need to magnetize the pipeline in advance. Since the magnetic memory signal is relatively weak, the actual detected signal will be affected by environmental noise, sensor jitter, and pipeline surface deposits. Therefore, the magnetic memory signal needs to be denoised. In this paper, the translation invariant wavelet denoising method, which is improved based on wavelet threshold denoising method, is used to denoise the collected pipeline magnetic memory signals. The experimental results show that the signal-to-noise ratio (SNR) obtained by this method is 4.97 % higher than the unmodified wavelet threshold denoising, and 3.18 % higher than the SNR obtained by the particle swarm optimization wavelet threshold denoising.
목차
1. Introduction
2. Method principle
3. Signal Denoising Simulation
4. Metal Magnetic Memory Signal Experiment and Denoising
5. Conclusion
References
참고문헌 (19)
참고문헌 신청
Q. Feng / 2016 / Sensors 17:1
Mingjiang Shi / 2019 / Defect Detection of Oil and Gas Pipeline using Remote Field Eddy Current Technology / Journal of Magnetics 24(3):530~542
A. A. Dubov / 2012 / J. Chem. Petrol. Eng 47:11
D. N. Chen / 2019 / Improving the Magnetic Properties of FeSiB Soft Magnetic Composites by Adding Untreated or Phosphated Fe Powders / Journal of Magnetics 24(3):485~490
M. K. Su / 2018 / GPS Solut 22(3):1~12
Mingjiang Shi / 2019 / Defect Detection of Oil and Gas Pipeline using Remote Field Eddy Current Technology / Journal of Magnetics 24(3):530~542
A. A. Dubov / 2012 / J. Chem. Petrol. Eng 47:11
D. N. Chen / 2019 / Improving the Magnetic Properties of FeSiB Soft Magnetic Composites by Adding Untreated or Phosphated Fe Powders / Journal of Magnetics 24(3):485~490
M. K. Su / 2018 / GPS Solut 22(3):1~12
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