摘要
研究了信号的奇异性检测问题。给出小波变换和信号奇异性的关系,实现小波分析对信号各类奇异间断点的有效检测,利用小波分析构造故障诊断所需的特征因子(或直接提取对诊断有用的信息),从而将该方法推广到各类冲击响应信号的奇异性检测中。最后给出一个实例进行验证。
The problem on signal singularity detection is presented. The relation between wavelet transformation and signal singularity is given, and all kinds of singnlarity discontinuous point is detected by wavelet analysis effectively. Constructing the feature factor of fault diagnosis by wavelet analysis （or extracting the available information directly）, this method is extended to signal singularity detection in lots of pulse responsible signal. An illustration validates this method.
出处
《电讯技术》
2006年第3期24-27,共4页
Telecommunication Engineering
基金
国家自然科学基金资助项目(6037200190407007)
高校博士点基金资助项目(20030614006)
关键词
信号检测
故障诊断
奇异性检测
小波分析
signal detection
fault diagnosis
signal singularity detection
wavelet analysis
