| 粗晶材料超声检测信号的小波变换去噪方法 |
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| 引用本文： | 卢超,李坚,张维,彭应秋.粗晶材料超声检测信号的小波变换去噪方法[J].南昌航空工业学院学报,2002,16(1):82-85. |
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| 作者姓名： | 卢超 李坚 张维 彭应秋 |
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| 作者单位： | 南昌航空工业学院测控工程系 江西南昌330034
(卢超，李坚，张维)，南昌航空工业学院测控工程系 江西南昌330034(彭应秋) |
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| 摘 要： | 本文研究多尺度小波分析方法在粗晶材料超声缺陷信号增强中的应用。在分析晶粒噪声和缺陷信号频谱分布的基础上，提出一种基于小波变换系数软阈值处理再重构的方法来提高信噪比。实验结果表明，该方法具有很好的去噪效果，增强了缺陷的检出率。
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| 关 键 词： | 粗晶材料 超声检测 小波变换 信噪比 |
| 文章编号： | 1001-4926(2002)01-0082-04 |
| 修稿时间： | 2002年1月4日 |
De-Noising method to ultrasonic inspection signal of Coarse-Grained materials on wavelet transform |
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| LU Chao,LI Jian,ZHANG Wei,PENG Ying qiu.De-Noising method to ultrasonic inspection signal of Coarse-Grained materials on wavelet transform[J].Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition),2002,16(1):82-85. |
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| Authors: | LU Chao LI Jian ZHANG Wei PENG Ying qiu |
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| Abstract: | The application of wavelet transform to ultrasonic inspection of coarse-grained materials is discussed in this paper . To restrain the adverse effect of the scattering from coarse-grain , an algorithm using wavelet coefficient threshold pruning and reconstruction is provided to enhance SNR based on the discussion of the frequency spectrum distribution of the defect signals and grained noise. The experimental results show that the new method is more effective, and the defect is detected more easily. |
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| Keywords: | Coarse grained material Ultrasonic inspection Wavelet transform SNR |
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