摘要
根据Carmona的多脊线识别理论,连续小波变换时频平面上模极大值线所在位置就是脊线位置,其小波系数与时域信号之间存在简单的对应关系,利用Crazy Climber算法提取小波变换系数的脊,就可以重构时域信号。将该方法用于航空发动机压气机的失速信号分析,并做成了软件,有较高的应用价值。
According to the theory of Carmona,there is a simple relationship between wavelet coefficient and the original signal,and the maxima line of continuous wavelet transform locates the ridges.The Crazy Climber algorithm provides an efficient way to detect the ridges.So it is available to reconstruct signal from these ridges,and this method has been put into use in the analysis of signals of aero-engine compressor.
出处
《机械工程与自动化》
2009年第5期47-49,52,共4页
Mechanical Engineering & Automation
关键词
小波变换
脊线
失速
信号分析
wavelet transform
ridges
stall
signal analysis
