基于金属磁记忆法的焊接缺陷特征值提取
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
研究了磁记忆检测技术在焊缝检测中的应用情况。采集了有缺陷和无缺陷试件分别在无应力作用下和加栽后的磁记忆信号,并进行对比分析。以小波包变换为理论基础,对磁记忆信号进行小波包分解和小波包能量谱特征分析。试验证明,采用磁记忆信号的能量集中位置来判断缺陷的区域是可行的。
The application of metal magnetic memory testing (MMMT) in weld inspection was investigated. Through experiments,MMMT signals of two samples of being stress free and load imposed were gathered respectively,and comparative analysis was carried out On the theoretical basis of wavelet packet transform, MMMT signals were processed by wavelet packet decomposition and wavelet energy spectrum analysis. The feasibility of judging the area of defect by the position of energy concentration was proved.
引文
[1] 任吉林,高春法,宋凯,等.电站铁磁构件的磁记忆检测[J].仪器仪表学报,2003,24(5) :470-476.
    [2] 刘红光,张卫民,王朝霞,等.基于磁记忆法的焊接缺陷检测技术研究[J].北京理工大学学报,2007,27(9) :810-813.
    [3] 白鹭,任吉林,范振中.基于小波包能量谱的磁记忆检测方法[J].无损检测,2008,30(10) :744-746.
    [4] DoubovA A. Diagnostics of metal items and equipment by means of metal magnetic memory proc of CHSNDT [C]// 7th Conference on NDT and International Research Symposium,[s. l. ]:[s. n. ],1999. -181-187.
    [5] 班国邦,李永刚,刘锐,等.基于小波能谱的发动机转子匝间短路故障分析[J].大电机技术,2008,(4) :21-25.
    [6] 彭玉华.小波变换与工程应用[M].北京:科学出版社,2002.
    [7] 郑治真.小波变换及其MATLAB工程的应用[M].北京:地震出版社,2001:43-59.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心