|本期目录/Table of Contents|

[1]曾寿金,刘志峰,江吉彬,等.再制造对象磁记忆信号的特征提取方法[J].武汉工程大学学报,2012,(4):64-68.
　ZENG Shou\|jin,LIU Zhi\|feng,JIANG Ji\|bin,et al.Feature extraction method of metal magnetic memory signals for remanufacturing objects [J].Journal of Wuhan Institute of Technology,2012,(4):64-68.
点击复制

再制造对象磁记忆信号的特征提取方法(/HTML)
分享到：

《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2012年4期
页码:
64-68
栏目:
机电与信息工程
出版日期:
2012-05-30

文章信息/Info

Title:
Feature extraction method of metal magnetic memory
signals for remanufacturing objects
文章编号:
16742869(2012)04006405
作者:
曾寿金1; 2; 刘志峰2; 江吉彬1; 陈丙三1
1. 福建工程学院机电及自动化工程系，福建 福州 350108；
2. 合肥工业大学机械与汽车工程学院，安徽 合肥 230009
Author(s):
ZENG Shou\|jin1; 2;  LIU Zhi\|feng2;  JIANG Ji\|bin1;  CHEN Bing\|san1
1. Department of Electromechanical and Automation Engineering, Fujian University of Technology, Fuzhou 350108, China;
 2. School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei 230009, China
关键词:
金属磁记忆; 小波分析; 特征提取; 阈值去噪
Keywords:
metal magnetic memory;  wavelet analysis;  feature extraction;  threshold de\|noising
分类号:
TG 115.28
DOI:
-
文献标志码:
AAdoi:103969/jissn16742869201204015
摘要:
针对在工程实践中对再制造对象进行金属磁记忆检测时容易受环境磁场干扰的情况，给出一种利用小波分析和希尔伯特变换进行磁记忆信号去噪和特征提取的方法.利用金属磁记忆检测仪采集一铁磁性试件的磁记忆信号，对其中受环境磁场干扰的信号进行小波阈值去噪处理，并对去噪后的信号采用希尔伯特变换提取信号包络，最后通过求取梯度获得信号特征.试验结果表明：利用小波阈值方法进行磁记忆信号去噪效果明显，对磁记忆信号利用希尔伯特变换可以获得信号的包络，从而有效地提取信号特征.
Abstract:
According to the situation that the signals are easy to be interfered by environmental magnetic field while the remanufacturing objects are tested. Using metal magnetic memory (MMM) in engineering practice, a signal de\|noising and feature extraction method for MMM was proposed by using the wavelet analysis and Hilbert transform. The MMM testing instrument was used to collect the magnetic signals of a ferromagnetic specimen. The noise signals interfered by environmental magnetic field were processed by utilizing the wavelet threshold de\|noising method, and meanwhile, Hilbert transform was used to extract the signal envelope .The signal feature was obtained by calculating the gradient at last. The results show that the reduction of noise is improved by using the wavelet threshold de\|noising method, the envelope curve can be obtained by using Hilbert transform and the signal features can be extracted effectively.

参考文献/References:

［1］Doubov A A. Screening of weld quality using the metal magnetic memory［J］.Welding in the world, 1998,41(6):196-199.
［2］董世运，徐滨士，董丽虹，等. 金属磁记忆检测技术用于再制造毛坯寿命预测的试验研究［J］.中国表面工程，2006,19（5）：71-75.
［3］张卫民，董韶平，张之敬.金属磁记忆的现状与发展［J］.中国机械工程，2003,14（10）：892-896.
［4］任吉林，林俊明. 金属磁记忆检测技术［M］.北京：中国电力出版社，2000.
［5］吴文秀，韩兴.基于磁记忆检测的应力集中程度分级试验研究［J］.石油天然气学报.2007，29(1):144-146.
［6］王慧琴. 小波分析与应用［M］.北京：北京邮电大学出版社，2011.
［7］张军，王彪，计秉玉.基于小波变换的套管金属磁记忆检测信号处理［J］.石油学报，2006,27（2）：137-140.

相似文献/References:

备注/Memo

备注/Memo:
-
更新日期/Last Update: