Wavelet De-noising Method Analysis of Pipeline Magnetic Flux Leakage In-line Inspection Based on Coefficient of Variation-Reference-Cited by-同舟云学术

Wavelet De-noising Method Analysis of Pipeline Magnetic Flux Leakage In-line Inspection Based on Coefficient of Variation

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)
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Author:

Shi Guannan¹,Hu Peng¹,Chen Jinzhong¹,Li Chunyu¹,Zhou Hanquan¹,Ma Yilai¹

Affiliation:

1. China Special Equipment Inspection & Research Institute,Pipeline Intelligent Detection Robot Scientific Innovation Team,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046416/10046428/10046475.pdf?arnumber=10046475

Reference8 articles.

1. Research on Contour Reconstruction Technology for Magnetic Flux Leakage Inspection of Pipeline Defects;li,2021

2. A multi-resolution approach for line-edge roughness detection;sun;Microelectronic Engineering,2008

3. Calibration Analysis of High-G MEMS Accelerometer Sensor Based on Wavelet and Wavelet Packet Denoising

4. Wavelet decomposition and extraction method of defect signal in magnetic flux leakage testing based on similar waveform;yang;Electrical Engineering,2022

5. A Reliable Evaluation Index of Wavelet Denoising Quality;zhu;Journal of Wuhan University (Information Science Edition),2015

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