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
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
相关论文
共 50 条
  • [31] Analysis of gear wear based on measure analysis of wavelet packet entropy of vibration signal
    Kong, FR
    Zhu, ZK
    Yang, ZM
    Yu, QY
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENT, VOL 4, 2002, : 300 - 305
  • [32] A method of analysis for grinding wheel's unbalanced signal based on wavelet packet
    Zhang Bangcheng
    Yang Xiaohong
    Sun Shangyuan
    ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 737 - +
  • [33] An Insect Song Signal Feature Extraction Method Based on the Wavelet Packet Analysis
    Xie, Jun
    Wang, Hongwei
    Zhao, Mei
    Yang, Kaiyu
    APPLIED MATERIALS AND TECHNOLOGIES FOR MODERN MANUFACTURING, PTS 1-4, 2013, 423-426 : 2614 - +
  • [34] A Method of Tools AE Signal Feature Extraction Based on Wavelet Packet Analysis
    Guo, Lanshen
    Dong, Naiqiang
    Tian, Wei
    Zhang, Fangzhong
    Li, Caixiao
    ADVANCED MATERIALS AND COMPUTER SCIENCE, PTS 1-3, 2011, 474-476 : 189 - 194
  • [35] Traffic Information Extraction of Vehicle Acoustic Signal Based on Wavelet Packet Analysis
    Li Zhenshan
    Wang Jianqun
    Ran Xuejun
    Yao Guozhong
    PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 5438 - 5440
  • [36] Ultrasonic Testing of Defects in Pipeline Based on Image Characteristics of TOFD Circumferential Scan
    Jin, Shijie
    Zhang, Bo
    Sun, Xu
    Wang, Zhicheng
    Lin, Li
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2023, 59 (04): : 18 - 24
  • [37] ANALYSIS OF THE DOPPLER ULTRASOUND SIGNAL BY WAVELET PACKET TRANSFORM
    Meghnefi, F.
    Reguig, F. Bereksi
    Brahami, M.
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2004, 4 (03) : 273 - 282
  • [38] The sonagram of audio signal based on the wavelet packet transform
    Wang, DW
    Wu, X
    Xiao, Q
    Li, DF
    2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS, 2000, : 736 - 739
  • [39] Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects
    Kim, Hyeong-Joo
    Mission, Jose Leo
    Dinoy, Peter Rey
    Kim, Hyeong-Soo
    Park, Tae-Woong
    APPLIED SCIENCES-BASEL, 2020, 10 (07):
  • [40] UWB Signal Detection Based on Wavelet Packet Decomposition
    Fu, Quan
    Li, Yalin
    Yin, Huarui
    Xu, Peixia
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 1027 - 1030