基于小波和凯瑟效应的电磁声发射信号特性分析

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摘要针对脉冲电磁涡流激励下, 金属铝板的声发射信号具有宽频率响应以及低频干扰严重的特性, 使用小波包和快速傅里叶(FFT)方法研究了不同加载条件下来自不同试件信号的高低频能量特性, 揭示了不同试件的信号特征, 得到了缺陷的声发射信号以及噪声的强度特性。基于声发射理论, 将有限元计算的形变和声发射信号进行了归一化处理, 并依据凯瑟效应, 建立了有限元分析和声发射信号之间的内在联系, 为理论和实验研究电磁声发射技术提供了重要的理论和实验依据。

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	金亮
	杨庆新
	刘素贞
	张广超
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关键词 ：电磁声发射, 金属板裂纹检测, 涡流激励, 信号处理

Abstract：Aiming at the features of a wide frequency response and the serious low-frequency noise interference of Acoustic Emission (AE) induced by signal pulse eddy current, the Wavelet Method and Fast Fourier Transform (FFT) are used to analyze signals from different samples under different exciting currents. And the strength feature of AE signals is obtained through comparing the signals feature of different samples. The calculated deformation and experimental AE signals are normalized based on AE Theory. And according to Kaiser effect, the partly direct relationship between the acoustic emission signal and the calculated deformation can be obtained. This can provide useful references for the optimization analysis and engineering application of AE.

Key words： Electromagnetically induced acoustic emission (EMAE) metal plate crack detection eddy current exciting signal processing

收稿日期: 2012-11-20 出版日期: 2014-03-25

PACS:

TM930.12+4

基金资助:国家自然科学基金(51077036, 51207105), 高等学校博士学科点专项科研基金(20121201120003)资助项目

作者简介: 金亮男, 1982年生, 博士, 讲师, 主要从事工程电磁场与电磁、电磁无损检测方面的研究。杨庆新男, 1961年生, 教授, 博士生导师, 主要从事电磁场数值计算、磁技术及应用和磁性材料建模等方面的研究。

引用本文:

金亮, 杨庆新, 刘素贞, 张广超, 张献. 基于小波和凯瑟效应的电磁声发射信号特性分析[J]. 电工技术学报, 2013, 28(8): 84-90. Jin Liang, Yang Qingxin, Liu Suzhen, Zhang Guangchao, Zhang Xian. Characteristics of Acoustic Emission Signals Induced by Electromagnetic Exciting Based on Wavelet Method and Kaiser Effect. Transactions of China Electrotechnical Society, 2013, 28(8): 84-90.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2013/V28/I8/84

[1] Hensman J, Pullin R, Meaton, et al. Detecting and identifying artificial acoustic emission signals in an in industrial fatigue environment [J]. Measurement Science and Technology, 2009, 20(4): 251-260.
[2] Ennaceur C, Laksimi A, Herve C, et al. Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference [J]. International Journal of Pressure Vessels and Piping, 2006, 83(3): 197-204.
[3] 耿荣生, 沈功田, 刘时风. 声发射信号处理与分析技术[J]. 无损检测, 2002, 24(1):22-28.
[4] Chang H, Han E H, Wang H Q, et al. Acoustic emission study of fatigue crack closure of physical short and long cracks for aluminum alloy LY12CZ [J]. International Journal of Fatigue, 2009, 31: 403-407.
[5] Finkel P, Godinez V, Miller R. Electromagnetically induced acoustic emission-novel NDT technique for damage evaluation [C]. American Institute of Physics Conference, 2001, 557: 1747-1754.
[6] Finkel P, Godinez V. Numerical simulations of an electromagnetic of the ultrasonic signal for nondestructive detection of ferromagnetic inclusions and flaws [J]. IEEE Transactions on Magnetics, 2004, 40(4): 2179-2181.
[7] Jin Liang, Liu Suzhen, Yang Qingxin, et al. Application of eddy load in electromagenetic acoustic emission [C]. The 11th International Conference on Electrical Machines and Systems, 2008: 395-397.
[8] 张闯, 刘素贞, 杨庆新, 等. 基于FFT和小波包变换的电磁声发射信号处理[J]. 电工技术学报, 2010, 25(4): 24-28.
[9] Jin Liang, Yang Qingxin, Liu Suzhen. Electromagnetic stimulation of the acoustic emission for fatigue crack detection of the sheet metal [J]. IEEE Transactions on Applied Superconductivity, 2010, 20(3): 1848-1854.
[10] 刘素贞, 杨庆新, 金亮, 等. 电磁声发射技术在无损检测中的应用研究[J]. 电工技术学报, 2009, 24(1): 23-28.
[11] Jin Liang, Yang Qingxin, Liu Suzhen, et al. Enhanced acoustic emission detection induced by electromagnetic stimulation with external magnetic field [J]. IEEE Transactions on Magnetics, 2011, 47(10): 3284-3287.