摘要
基于复小波基函数的信号小波变换,体现了小波变换的多分辨特性。复值小波能从幅值与相位两个角度提取被分析信号的信息,在齿轮故障振动信号处理中可以更好地识别故障模式。
The signal wavelet transformation based on complex wavelet function reflects the multi-resolution Characteristics of Wavelet transformation. The complex wavelet can extract the information of the analyzed signals from the amplitude and phase, and can cognize the default mode in the vibration signal processing of gear default.
出处
《科技情报开发与经济》
2008年第8期139-140,144,共3页
Sci-Tech Information Development & Economy
关键词
小波变换
齿轮故障
信号处理
复小波变换
wavelet transformation
gear fault
signal processing
complex wavelet transformation
