铁磁性材料脉冲涡流检测信号的消噪方法
The Denoising Method for Pulsed Eddy Current Testing Signal about the Ferromagnetic Materials
摘 要
为了能够有效地滤除铁磁性材料脉冲涡流检测信号中的噪声成分, 提出基于小波分析和卡尔曼滤波器联合降噪的方法。阐述小波阈值降噪的基本原理, 通过信号降噪试验优化小波降噪阈值参数,实现小波阈值最优降噪。针对小波降噪后的信号仍然存在少量非平稳噪声的问题, 提出卡尔曼滤波器降噪方法, 信号降噪试验结果表明:卡尔曼滤波器有效滤除了非平稳噪声, 信号的信噪比达到34.976 7 dB, 均方根误差减小到0.049 395。
消噪
小波分析
卡尔曼滤波器
Pulsed eddy current detecting signal
Denoising
Wavelet analysis
Kalman filter
Abstract
Aiming at effectively filtering the noise components of pulsed eddy current testing signal in ferromagnetic materials, the method of wavelet analysis and Kalman filter denoising is proposed. The basic principle of wavelet threshold denoising is expounded and the threshold parameters of wavelet denoising are optimized through the signal denoising experiment. So the optimal wavelet threshold denoising is implemented. Because there exists still a small amount of non-stationary noise signal after wavelet denoising, the method of Kalman filter denoising is proposed. The signal denoising experimental results show that Kalman filter can effectively filter the noise components, increase the signal to noise ratio (SNR) to about 34.976 7 dB and reduce the root mean square error (RMSE) to about 0.0493 95.
中图分类号 TN911.7 TG115.28 DOI 10.11973/wsjc201601012
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(51107053);中国博士后基金资助项目(2012M520994)
收稿日期 2015/5/28
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备注王俊(1989-),男,硕士研究生,研究方向为无损检测及自动化。
引用该论文: WANG Jun,ZHOU De-qiang,XIAO Jun-feng,YOU Li-hua,SHENG Wei-feng. The Denoising Method for Pulsed Eddy Current Testing Signal about the Ferromagnetic Materials[J]. Nondestructive Testing, 2016, 38(1): 44～48
王俊,周德强,肖俊峰,尤丽华,盛卫锋. 铁磁性材料脉冲涡流检测信号的消噪方法[J]. 无损检测, 2016, 38(1): 44～48
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【3】周德强, 田贵云, 王海涛,等.小波变换在脉冲涡流检测信号中的应用［J］. 传感器与微系统, 2008, 27(10): 115-117.
【4】SOPHIAN A, TIANG Y, TAYLOR D, et al. A feature extraction technique based on principal component analysis for pulsed eddy current NDT［J］. NDT＆E International, 2003, 36(1):37-41.
【5】YANGB F, LUOF L, HAN D. Research on edge identification of a defect using pulsed eddy current based on principal component analysis［J］. NDT＆E International, 2007, 40(4):294-299.
【6】王俊英, 朱目成. 基于小波变换的脉冲涡流信号除噪［J］. 制造业自动化,2011, 33(4): 61-64.
【7】邱选兵.基于脉冲涡流连铸钢坯无损检测理论与实验研究［D］. 太原: 太原科技大学, 2013.
【8】HUANG Chen, WU Xin-jun. Pulsed eddy current signal processing method for signal de-noising in ferromagnetic plate testing［J］. NDT&E International, 2010, 43: 648-653.
【9】RANGABABU P. Efficient hybrid Kalman filter for denoising fiber opti gyroscope signal［J］. Optik, 2013, 124: 4549-4556.
【10】王金甲.基于卡尔曼滤波的ECoG 信号降噪方法研究［J］. 燕山大学学报, 2012, 36(5): 452-457.
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