小波变换与FFT相结合在涡街信号处理中的应用

The application of combining wavelet transform and FFT algorithm in the vortex signal processing

针对工业现场对涡街流量信号处理测量精度的问题,利用小波变换与F F T相结合的方法,有效地去除干扰噪声,提取出涡街信号主频率。最后通过MATLAB仿真,并与直接用FFT算法相比较,结果表明改进后的算法测量精度明显提高。

Regarding the measurement accuracy problem of the vortex flow signal processing in industrial field,using of the combination of wavelet transform and FFT methods to remove the interference noise effectively,to extract the main frequency of vortex signal.Finally,via the MATLAB simulation,the results show that the modified algorithm improved significantly in measurement accuracy compared with the FFT algorithm.