期刊文献+

小波分析在脉冲涡流无损探伤中的应用 被引量:7

Application of wavelet analysis in detection of defects using PEC
下载PDF
导出
摘要 脉冲涡流探伤时,瞬态信号和一次扫描波形中的噪声干扰成分会影响缺陷定量检测的准确度。对于该问题,研究了小波分析在脉冲涡流探伤中的两方面应用。对于瞬态信号,利用小波阈值去噪法对其处理,分析了阈值方法的不同对去噪效果的影响并进行实验验证,并与传统低通滤波进行了比较;对于一次扫描波形,利用小波分解后的近似系数重构信号,再提取峰值扫描曲线。实验结果证明:在瞬态信号的去噪中,软阈值法相比于硬阈值法有更好的去噪效果,其可以在保留真实信号特征的情况下去除噪声,并解决了传统低通滤波会损害真实信号特征的问题,还原了信号的真实峰值和过零时间;使用该方法获得的峰值扫描曲线消去了抖动,极值点时间变得明确,提高了缺陷长度的检测准确度。 During pulsed eddy current testing, the noise component of the transient signal and one-time scan waveforms can affect the accuracy of quantitative detection of defects. Both the transient and one-time scan waveforms of pulsed eddy signal are analyzed. Wavelet analysis is utilized in pulsed eddy testing. Wavelet threshold denoise is used to process transient pulsed eddy signal and the denoise performances under different threshold denoise methods are compared and analyzed theoretically. Experimental results confirm the efficiency of wavelet threshold denoise method by comparing with traditional low-pass filters. For one-time scan waveforms, the approximate coefficients of wavelet decomposition are used to reconstruct original signal and peak scanning curves are extracted from reconstructed signal. The experimental results show that, soft threshold has better performance than hard threshold in transient signal denoise because soft threshold not only retains real signal characteristics but also restores the peak value and zero time of the real signal. Therefore soft threshold solves the problem in traditional filter. The peak value scanning curve acquired in this paper eliminates shaking and the extremum points become explicit which improve the defects length testing precision.
出处 《计算机工程与应用》 CSCD 北大核心 2015年第5期198-203,共6页 Computer Engineering and Applications
基金 国家自然科学基金(No.61201039 No.61240038) 青年科学基金项目(No.51004076)
关键词 脉冲涡流 探伤 小波分析 Pulsed Eddy Current(PEC) detection of defects wavelet analysis
  • 相关文献

参考文献6

二级参考文献44

  • 1杨宾峰,罗飞路,曹雄恒,徐晓杰.脉冲涡流腐蚀成像阵列传感器应用研究[J].传感技术学报,2005,18(1):112-115. 被引量:14
  • 2Bruno Lebrun, Yves Jayet, Jean-Claude Baboux. Pulsed eddy current signal analysis: application to the experimental detection and characterization of deep flaws in highly conductive materials[J]. NDT & E International, 1997,30 (3) : 163- 170.
  • 3Sergio Franco,著.基于运算放大器和模拟集成电路的电路设计[M].刘树堂,译.西安:西安交通大学出版社,2004:114-121.
  • 4Chen T L,Tian G Y,Sophin A,et al.Feature extraction and selection for defect classification of pulsed eddy current NDT[J].NDT&E international,2008,41:46-476.
  • 5Tian G Y,Sophin A.Defect classification using a new feature for pulsed eddy current sensors[J].NDT&E international,2005,38:77-82.
  • 6Li S,Huang S L,Zhao W.Development of differential probes in pulsed eddy current testing for noise suppression[J].Sensors and actuators A,2007,135:675-679.
  • 7Clauzon T,Thollon F,Nicolas A.Flaws characterization with pulsed eddy currents N D T[J].IEEE transactions on magnetics,1999,35(3):1873-1876.
  • 8Smith R A,Hugo G R.Transient eddy current NDE for ageing aircraft-capabilities and limitations[J].Insight,2001,43(1):14-25.
  • 9Safizadeh M S,Lepine B A,Forsyth D S,et al.Time-frequency analysis of pulsed eddy current signals[J].Journal of nondestructive evaluation,2001,20(2):73-86.
  • 10Chen G M,Li W,Wang Z X.Structural optimization of 2-D array probe for alternating current field measurement[J].NDT&E international,2007,40:455-461.

共引文献69

同被引文献61

引证文献7

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部