| 基于小波免疫系统的超声无损检测数据判读研究 |
| |
| 引用本文： | 杨辰龙,周晓军,孟庆华,吴乘波.基于小波免疫系统的超声无损检测数据判读研究[J].中国机械工程,2005,16(12):1072-1076. |
| |
| 作者姓名： | 杨辰龙 周晓军 孟庆华 吴乘波 |
| |
| 作者单位： | 浙江大学,杭州,310027 |
| |
| 摘 要： | 根据小波包分析和人工免疫系统的原理,提出了一种基于小波免疫系统的超声检测缺陷分类判读系统。针对小波包分析的特点,将其用来对超声回波信号进行分析,获取信号特征向量作为原始数据,利用匹配算法对原始数据进行自我-非我分析。将此系统应用到航空锻件缺陷分类判读中,取得了良好的效果。
|
| 关 键 词： | 超声检测 小波包 免疫系统 缺陷分类 数据判读 航空锻件 |
| 文章编号： | 1004-132X(2005)12-1072-05 |
Study on Interpretation of Data from Ultrasonic Non-destructive Testing Based on Wavelet-Immune System |
| |
| Yang Chenlong,Zhou Xiaojun,MENG Qinghua,WU Chengbo.Study on Interpretation of Data from Ultrasonic Non-destructive Testing Based on Wavelet-Immune System[J].China Mechanical Engineering,2005,16(12):1072-1076. |
| |
| Authors: | Yang Chenlong Zhou Xiaojun MENG Qinghua WU Chengbo |
| |
| Affiliation: | Yang Chenlong Zhou Xiaojun Meng Qinghua Wu Chengbo Zhejiang University,Hangzhou,310027 |
| |
| Abstract: | According to the theories of wavelet packet analysis and artifical immune system, the authors presented a new efficient flaw classification of ultrasonic test system based on the wavelet packet transform and immune system. Aiming at the characteristics of wavelet packet analysis, ultrasonic flaw echo signals were analyzed, the eigenvectors were obtained as raw data,the match algorithm is used to detect oneself or non-self. This system is successfully applied to the flaw classification of ultrasonic test for aviation forgings. |
| |
| Keywords: | ultrasonic test wavelet packet immune system flaw classification data interpretation aviation forgings |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
