Proceedings of the Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)

Study on Magnetic Memory Testing Signal Characteristics of Pipeline Defects Based on Wavelet Packet Analysis

Authors
Shujun Liu, Shenglin Li, Ming Jiang, Dean He
Corresponding Author
Shujun Liu
Available Online April 2017.
DOI
https://doi.org/10.2991/icmmse-17.2017.71How to use a DOI?
Keywords
Magnetic Memory Testing, Signal characteristics, Stress Concentration, Defect, Wavelet packet energy spectrum.
Abstract

At present, the judging principle of Magnetic Memory Testing technology (MMT) can only indicate the stress concentration zone, but can not get information from the stress concentration further. In the paper, to get information from the stress concentration zone, a MMT signal analysis method based on wavelet packet energy spectrum is proposed. The specimen tension load experiment shows that when the tension load is 200MPa, the signal wavelet packet energy spectrum distributes uniformly, the percentage of separate energy to total energy is lower than 15%. When the tension load is 410MPa, the maximum wavelet packet energy locate in 1, 3 and 4 spectrum, the percentage of 1~4 energy to total energy is 73.8%, and the main wavelet packet energy locates in the low frequency area. After the specimen yields, the maximum wavelet packet energy locates in 1 and 2 spectrum; the percentage of 1~3 energy to total energy is 87.3%.The distribution of wavelet packet energy spectrum is very separate, and the main wavelet packet energy locates in 1 and 2 spectrum. If the stress concentration degree is low, then the wavelet packet energy spectrum distribution is equal; if the stress concentration degree is high, then the wavelet packet energy spectrum distribution is concentrated, and the main energy is concentrated in low frequency area.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmse-17.2017.71
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmse-17.2017.71How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shujun Liu
AU  - Shenglin Li
AU  - Ming Jiang
AU  - Dean He
PY  - 2017/04
DA  - 2017/04
TI  - Study on Magnetic Memory Testing Signal Characteristics of Pipeline Defects Based on Wavelet Packet Analysis
BT  - Proceedings of the Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)
PB  - Atlantis Press
SP  - 425
EP  - 430
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmse-17.2017.71
DO  - https://doi.org/10.2991/icmmse-17.2017.71
ID  - Liu2017/04
ER  -