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| 小波尺度加权法在粗晶材料超声波检测中的应用 | |
| 引用本文： | 彭家宁,胡天明,罗斌,钟志民.小波尺度加权法在粗晶材料超声波检测中的应用[J].无损检测,2005,27(4):179-182. |
| 作者姓名： | 彭家宁 胡天明 罗斌 钟志民 |
| 作者单位： | 1. 广西电力试验研究院,南宁,530023 2. 武汉大学,武汉,430033 3. 核工业无损检测中心,上海,200233 |
| 摘 要： | 为了解决超声波检测粗晶材料时回波信噪比低、缺陷难以检出的难题,对超声波信号小波分析原理进行了研究。以实例分析的方式提出小波尺度加权降噪法,并阐述其原理及优点。在小波分析尺度加权降噪法的基础上编制了缺陷识别程序,对超声波信号进行处理,大大提高了对缺陷的识别与定位能力。该检测工艺在实际粗晶材料超声检测中取得了良好的效果。 |
| 关 键 词： | 超声波检测 粗晶材料 信噪比 小波尺度加权法 |
| 文章编号： | 1000-6656(2005)04-0179-04 |
| 修稿时间： | 2003年9月11日 |
Application of Wavelet Scale Pruning De-Noising Method for Coarse-Grained Materials |
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| PENG Jia-ning,HU Tian-ming,LUO Bin,ZHONG Zhi-min.Application of Wavelet Scale Pruning De-Noising Method for Coarse-Grained Materials[J].Nondestructive Testing,2005,27(4):179-182. | |
| Authors: | PENG Jia-ning HU Tian-ming LUO Bin ZHONG Zhi-min |
| Affiliation: | PENG Jia-ning,HU Tian-ming 1),LUO Bin 1),ZHONG Zhi-min 2) |
| Abstract: | A difficult problem of ultrasonic testing of coarse-grained material was the low signal to noise ratio(SNR). In order to solve the problem, wavelet analysis principle for ultrasonic signal was hence researched. Wavelet scale pruning de-noising method was put forward and its advantages were introduced. On the basis of it, the program for defect recognition was programmed and used in ultrasonic signal processing, so the ability for recognition and location of defect was improved highly. Test in practice proved that the method was effective for coarse-grained materials. |
| Keywords: | Ultrasonic testing Coarse-grained material Signal to noise ratio Wavelet scale pruning de-noising method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
