异构双核构架下的脉冲涡流信号实时小波去噪

doi:10.3724/SP.J.1087.2013.00866

计算机应用 ›› 2013, Vol. 33 ›› Issue (03): 866-870.DOI: 10.3724/SP.J.1087.2013.00866

异构双核构架下的脉冲涡流信号实时小波去噪

邱选兵¹,魏计林¹,崔小朝^1*,夏春华²

1.太原科技大学应用科学学院,太原 030024;
2.山西行政学院信息网络教研部,太原 030006

收稿日期:2012-08-16 修回日期:2012-09-23 出版日期:2013-03-01 发布日期:2013-03-01
通讯作者: 邱选兵
作者简介:邱选兵(1980-),男,四川内江人,讲师,博士研究生,主要研究方向:材料无损检测、嵌入式系统、信号处理; 魏计林(1957-),男,河北深县人,教授,主要研究方向:嵌入式系统、光学; 崔小朝(1962-),男,山西临汾人,教授,博士生导师,博士,主要研究方向:计算流体力学、工程应用、高效连铸; 夏春华(1958-),男,山西太原人,副教授,主要研究方向:嵌入式系统。
基金资助:
国家自然科学基金资助项目(61178067)。

Real-time wavelet denoising for pulsed eddy current signal based on heterogeneous dual-core

QIU Xuanbing¹, WEI Jilin1, CUI Xiaochao^1*, XIA Chunhua²

1.School of Applied Science, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China;
2.Departement of Information Network Teaching, Shanxi Administrative Institute, Taiyuan Shanxi 030006, China

Received:2012-08-16 Revised:2012-09-23 Online:2013-03-01 Published:2013-03-01
Contact: QIU Xuan-Bing

摘要/Abstract

摘要： 针对工业现场的脉冲涡流(PEC)信号,设计了基于异构双核OMAP3530的实时嵌入式去噪的硬件与软件系统。分析了适用于实时去噪的小波基的选择,完成了基于DB4小波基的Penalty阈值法、B-M阈值法、默认阈值法的Matlab去噪仿真实验,并给出了均方根误差(RMSE)和信噪比(SNR)。结合OMAP3530硬件平台,讨论了基于DSPLINK的异构双核构架的数据共享方法,并提出一种基于固定步长滑动窗口的实时去噪算法。通过计算机仿真与实验结果表明:该系统具有信噪比高、实时性强、数据吞吐率大的优点,满足连铸现场自动检测要求。

关键词: 脉冲涡流, 实时去噪, 嵌入式操作系统, 异构双核, DSPLINK

Abstract: In order to denoise the Pulsed Eddy Current (PEC) signal from industrial field, a real-time hardware and software system based on heterogeneous dual-core OMAP3530 was designed. First, how to select a wavelet basis was analyzed in the real-time process. The Matlab denoising model based on DB4 wavelet threshold method including Penalty method, B-M method and default method was established, and the Root of Mean Square Error (RMSE) and Signal-to-Noise Ratio (SNR) of the denoising model were given. With reference to the OMAP3530 hardware platform, the system software design of data sharing based on DSPLINK of heterogeneous dual-core was discussed. A real-time filtering algorithm based on fixing length step window was promoted to denoise the PEC signal. The simulation and experimental results indicate that the real-time denoising system has the features of high SNR, strong real-time and high throughput rate to satisfy the requirements of auto-testing on the casting production line.

Key words: Pulsed Eddy Current (PEC), real-time denoising, embedded operation system, heterogeneous dual-core, DSPLINK

中图分类号:

TN911
TP368

邱选兵魏计林崔小朝夏春华. 异构双核构架下的脉冲涡流信号实时小波去噪[J]. 计算机应用, 2013, 33(03): 866-870.

QIU Xuanbing WEI Jilin CUI Xiaochao XIA Chunhua. Real-time wavelet denoising for pulsed eddy current signal based on heterogeneous dual-core[J]. Journal of Computer Applications, 2013, 33(03): 866-870.

参考文献

[1]欧阳奇, 张敏,赵立明. 基于脉冲涡流技术的连铸坯表面缺陷检测[J].中国机械工程,2010, 21(10):1235-1239.
[2]OU Y Q, ZHANG L Z, ZHAO L M, et al. A method study of recognizing the defect type for the continuous casting slab by pulsed eddy current[J]. Advanced Materials Research, 2011, 233/234/235: 2424-2427.
[3]SOLEIMANI M, LIONHEART W R B, PEYTON A J, et al. A three dimensional inverse finite element method applied to experimental eddy current imaging data[J]. IEEE Transactions on Magnetics, 2006, 12(5): 1560-1567.
[4]MEILLAND P, METZ M. Novel multiplexed eddy current array for surface crack detection on rough steel surface[EB/OL].[2010-10-10].http://www.ndt.net/article/ecndt2006/doc/Tu.4.8.1.pdf.
[5]贾慧明, 范弘, 张克,等. 1100℃以上高温连铸板坯表面缺陷的模拟在线无损检测[J].钢铁研究学报, 1994,6(1):81-86.
[6]陈德智,唐磊,盛剑霓,等.由小波变换的模极大值快速重构信号[J]. 电子学报,1998,26(9):82-85.
[7]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):115-117,120.
[8]SOPHIAN A, TIAN G 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.
[9]YANG B F,LUO F 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.
[10]王俊英, 朱目成. 基于小波变换的脉冲涡流信号除噪[J].制作业自动化,2011, 33(4):61-64.
[11]彭学文, 付跃文. 脉冲涡流检测信号的消噪处理[J].计算机工程与设计,2010, 31(16):3715-3719.
[12]MA X, PEYTON A J. Feature detection and monitoring of eddy current imaging data by means of wavelet based singularity analysis[J]. NDT & E International, 2010,43(8): 687-694.
[13]赵君,刘卫国,谭博. 永磁同步交流牵引系统准实时小波降噪研究[J]. 电机与控制学报,2009,13(6):926-932.
[14]XIA R, MENG K, QIAN F. Online wavelet denoising via a moving window[J]. Acta Automatica Sinica, 2007,33(9):897-901.
[15]张力,刘正熙. ARM与DSP之间视频数据可靠传输的设计与实现[J].计算机应用, 2009,29(S2):198-200.
[16]仇洁婷,陈儒军,何展翔,等. Linux2.6内核下同步串行通信驱动的开发与应用[J]. 计算机应用,2010,30(3):850-853.
[17]鲍可进,姚成.基于双核数字信号处理器的人脸识别门禁系统[J]. 计算机应用,2010,30(9):2553-2555,2558.
[18]蒋建春,曾素华,岑明.一种基于异构双核处理器的嵌入式操作系统构架设计[J]. 计算机应用,2008,28(10):2686-2689.
[19]周天一,徐剑,李海森,等. 基于OMAP3530的声/光一体化成像系统[J]. 仪器仪表学报, 2010,31(9):2115-2119.
[20]曾启明, 廖江海, 纪震. 基于OMAP3530的多参数监护仪设计[J]. 深圳大学学报:理工版,2010,27(2):247-252.
[21]DAUBECHIES I.小波十讲[M]. 李建平,杨万年,译. 北京:国防工业出版社,2004.
[22]MALLAT S G. A theory for multiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7):674-693.
[23]DONOHO D l. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995, 41(3):613-627.
[24]DONOHO D l, JOHNSTONE I M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994, 81(3):425-455.

异构双核构架下的脉冲涡流信号实时小波去噪

Real-time wavelet denoising for pulsed eddy current signal based on heterogeneous dual-core

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