摘要
The Split Spectrum Processing (SSP) technique has proved its ability in reduction of interference noise in ultrasonic nondestructive testing for coarse gained materials. However, the results of SSP algorithms are not sufficiently stable since they are sensitive to the filter bank and filter parameters. And the mechanism of the technique to fully explore the signals is not clear. The statistical phase response characteristic of filter outputs for ultrasonic testing is discussed. Thus, a new SSP algorithm based on phase standard deviation is proposed. The performance is examined for both computer simulated and experimental data, and compared to commonly used minimum algorithm. The phase standard deviation algorithm is proved its superior effect and is less sensitive on the number of filters.
The Split Spectrum Processing (SSP) technique has proved its ability in reduction of interference noise in ultrasonic nondestructive testing for coarse gained materials. However, the results of SSP algorithms are not sufficiently stable since they are sensitive to the filter bank and filter parameters. And the mechanism of the technique to fully explore the signals is not clear. The statistical phase response characteristic of filter outputs for ultrasonic testing is discussed. Thus, a new SSP algorithm based on phase standard deviation is proposed. The performance is examined for both computer simulated and experimental data, and compared to commonly used minimum algorithm. The phase standard deviation algorithm is proved its superior effect and is less sensitive on the number of filters.
基金
the Natural Science Foundation of China and Trans-Century Training Program Foundation for the Talents by the State Education Co
