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一种用于缺陷超声检测的相位标准差分离谱新算法

A phase deviation based split-spectrum processing algorithm for ultrasonic flaw detection

  • 摘要: 在粗晶材料超声无损检测中,分离谱处理技术可用来降低材料内部的相干噪声、但分离谱处理对滤波器阵列参数较敏感、造成性能不稳,且至今对滤波信号有效利用的解释尚不明了.本文从理论上讨论了超声检测信号滤波输出的相位统计特性,据此提出了一种基于相位标准差的分离谱新算法,用计算机模拟及实验数据对该算法的世能进行了测试并与常用的极小值分离谱算法作了对比。结果证实,相位标难差的分离谱算法有好的信噪比增强能力,且对滤波器数不敏感.

     

    Abstract: The Split Spectrum Processing (SSP) technique has proved its ability in reduction of interference noise in ultrasonic nondestructive testing for coarse grained materials. However, the results of SSP algorithms are not sufficient stable since they are sensitive to the filter bank and filter parameters. And it is not clear how the technique use the filter outputs available. In this paper, the author has theoretically discussed the statistical phase response characteristic of filter outputs for ultrasonic testing. Thus, a new SSP algorithm based on phase standard deviation is created. The performance has been examined for both computer simulated and experimental data, and compared to commonly used minimum algorithm. The phase standard deviation algorithm has proved its superior effect and is less sensitive on the number of filters.

     

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