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

被引:0
作者
Liu, Shujun [1 ]
Li, Shenglin [1 ]
Jiang, Ming [1 ]
He, Dean [1 ]
机构
[1] Logist Engn Univ, Chongqing 401311, Peoples R China
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MECHANICS, MATERIALS AND STRUCTURAL ENGINEERING (ICMMSE 2017) | 2017年 / 102卷
关键词
Magnetic memory testing; Signal characteristics; Stress concentration; Defect; Wavelet packet energy spectrum;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 similar to 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 similar to 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.
引用
收藏
页码:425 / 430
页数:6
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