Analysis of Pulsed Magnetic Flux Leakage Signal Based on Wavelet Denoising

摘要：

Pulsed magnetic flux leakage (PMFL) has become research focus, for its more deep penetration to detect surface and subsurface flaws. As the peak value and the Inflexion points arrival time of the detection signal reveal the structure of tested material, signsl processing of detection signal become a one of the most crucial step of the procedures. The paper seeks to present an effective method to surpass the noise and reconstruct the receiving signal but retain the detail information as much as possible. Wavelet theory and common methods with different thresholds for denoising are presented. The result have illustrated the wavelet denoising approach has better performance in reconstruction of original signal.

关键词： pulsed magnetic flux leakage (PMFL) signal processing wavelet threshold denoising

作者: Xiaojun Wang Keqin Ding Hongzhu Wang Na Zhao

作者单位: School of Information and Communication Engineering, North University of China, Taiyuan, China China China Special Equipment Inspection and Research Institute, Beijing, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 330-333

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）