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。
Based on the characteristics of the acoustic new extraction method of the acoustic emission signals emission signals of the pitting of low carbon steel, a 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.
出处
《化工机械》
CAS
2007年第2期74-77,共4页
Chemical Engineering & Machinery
基金
中国石油天然气集团公司中青年创新基金资助项目(06E1010)
黑龙江省自然科学基金资助项目(E2004-09)。
关键词
小波变换
独立分量分析
特征提取
Wavelet Transform, Independent Component Analysis, Extraction of Characteristics
