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基于独立分量分析和小波变换的低碳钢点蚀声发射信号特征提取
引用本文:李伟,方江涛,戴光. 基于独立分量分析和小波变换的低碳钢点蚀声发射信号特征提取[J]. 化工机械, 2007, 34(2): 74-77
作者姓名:李伟  方江涛  戴光
作者单位:大庆石油学院;大庆石油学院;大庆石油学院
基金项目:中国石油天然气集团公司资助项目 , 黑龙江省自然科学基金
摘    要:根据低碳钢点蚀声发射信号自身的特点,提出了一种基于小波变换和独立分量分析相结合的低碳钢点蚀声发射信号特征提取的新方法。实验结果表明,该方法在一定程度上能够克服因低碳钢点蚀独立源的不确定性所带来的影响,并能获得较好的低碳钢点蚀声发射信号特征提取效果。

关 键 词:小波变换  独立分量分析  特征提取
文章编号:0254-6094(2007)02-0074-04
修稿时间:2006-10-11

Extraction of the Characteristics of the Acoustic Emission Signals of the Pitting of Low Carbon Steel Based on Independent Component Analysis and Wevelet Transform
LI Wei,FANG Jiangtao,DAI Guang. Extraction of the Characteristics of the Acoustic Emission Signals of the Pitting of Low Carbon Steel Based on Independent Component Analysis and Wevelet Transform[J]. Chemical Engineering & Machinery, 2007, 34(2): 74-77
Authors:LI Wei  FANG Jiangtao  DAI Guang
Affiliation:Daqing Petroleum Institute, Daqing, 163318, Heilongjiang, China
Abstract:Based on the characteristics of the acoustic emission signals of the pitting of low carbon steel, a new extraction method of the acoustic emission signals of the pitting of low carbon steel was proposed of the combination of the wavelet transform with independent component analysis. The experiment result shows that the new method can overcome the influence induced with the uncertainty of the independent source of the pitting of low carbon steel to some extent, and obtain a comparatively good extraction result.
Keywords:Wavelet Transform   Independent Component Analysis   Extraction of Characteristics
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