Defect Signal Extraction on Ultrasonic TOFD Testing Signal of Stainless Steel Weld Based on Wavelet Packet Decomposition
摘 要
奥氏体不锈钢焊缝超声检测时的信号受噪声和衰减的影响容易发生误判或漏检。将超声TOFD检测技术应用于不锈钢焊缝的检测中,利用小波包分解技术对检测信号深入分析,获得缺陷信号和噪声信号在时频域上的分布特征。结果表明: 不锈钢焊缝的超声TOFD检测信号受焊缝结构噪声的干扰较大,通过小波包分解技术能够提取缺陷的衍射波特征,提高缺陷检测信号的信噪比及分辨率。
Abstract
Ultrasonic testing signal of stainless steel weld is liable to be misjudged by its serious noise and attenuation. Ultrasonic Time of Flight Diffraction technique (Ultrasonic-TOFD) is one of the most effective weld test method and adopted in testing the weld of stainless steel in the research. The testing signal is analyzed to investigate the time-frequency characteristics of defect signal based on Wavelet Packet Decomposition (WPD). The results show that ultrasonic-TOFD signal of stainless steel weld is interfered by various noises such as electrical noise and structural noise,however,the diffraction characteristics of defect in testing signal can be extracted by use of WPD method,and the signal to noise performance and resolution is able to be enhanced in time domain.
中图分类号 TG115.28
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(11104129)
收稿日期 2014/5/8
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备注李建忠(1964-),男,主要从事特种设备无损检测工作。
引用该论文: LI Jian-zhong,LIU Guo-qi,CHEN Zhen-hua,JIN Han,OU Li-jiang. Defect Signal Extraction on Ultrasonic TOFD Testing Signal of Stainless Steel Weld Based on Wavelet Packet Decomposition[J]. Nondestructive Testing, 2015, 37(1): 38~41
李建忠,刘国奇,陈振华,金焓,欧利江. 基于小波包分解的不锈钢焊缝超声TOFD检测信号及缺陷信号提取[J]. 无损检测, 2015, 37(1): 38~41
被引情况:
【1】朱艳,李曙生,曹元军, "基于振动模态的振动筛横梁裂纹损伤机理",无损检测 37, 56-59(2015)
【2】陈振华,张翀,李新蕾,卢超, "超声TOFD二次波检测技术在奥氏体不锈钢焊缝无损检测中的应用",无损检测 38, 1-5(2016)
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参考文献
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【5】BASKARAN G,BALASUBRAMANIAM K,RAO C L. Shear-wave time of flight diffraction (S-TOFD) technique[J].NDT & E International,2006,39(6):458-467.
【6】聂勇,李晓梅,许远欢. 核设备不锈钢堆焊层下裂纹超声波检测技术[J].无损检测,2011,33(7):25-27
【7】庆光蔚,岳林,冯月贵. 声发射信号特征分析中的小波变换应用方法[J].无损检测,2012,34(11):48-51.
【8】CHEN H,ZUO M J,WANG X D,et al. An adaptive Morlet wavelet filter for time-of-flight estimation in ultrasonic damage assessment[J].Measurement,2010,43,570-585.
【9】黄建祥,张金玉,张勇.基于小波变换的独立分量分析及其在红外热波图像中的应用[J].无损检测,2012,34(5):40-43.
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