{"title":"Ultrasonic damage detection with WPT","authors":"P. Fan, Xinbao Liu","doi":"10.1109/ICCWAMTIP.2014.7073441","DOIUrl":null,"url":null,"abstract":"Non-destructive evaluation technique has been proved to be able to identify microscopic material degradation based on various nonlinear effects of ultrasonic wave propagation in structures. Wavelet transform becomes a promising method, due to its ability to analyze signal with multi-resolution. However, the damage detection results with the conventional wavelet transforms are usually dissatisfied because of the signal complexity and noises. In the present study, a novel damage feature parameter is proposed based on the signal energy of wavelet packet transform (WPT). With the proposed feature parameter, the damage detection results can be obtained. In addition, the simulation results show that the detection of crack with the present method is robust under low SNR environment.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWAMTIP.2014.7073441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Non-destructive evaluation technique has been proved to be able to identify microscopic material degradation based on various nonlinear effects of ultrasonic wave propagation in structures. Wavelet transform becomes a promising method, due to its ability to analyze signal with multi-resolution. However, the damage detection results with the conventional wavelet transforms are usually dissatisfied because of the signal complexity and noises. In the present study, a novel damage feature parameter is proposed based on the signal energy of wavelet packet transform (WPT). With the proposed feature parameter, the damage detection results can be obtained. In addition, the simulation results show that the detection of crack with the present method is robust under low SNR environment.
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WPT超声损伤检测
基于超声波在结构中传播的各种非线性效应,无损评价技术已被证明能够识别材料的微观退化。小波变换以其对多分辨率信号的分析能力成为一种很有前途的方法。然而,由于信号的复杂性和噪声的影响,传统的小波变换在损伤检测中的效果往往不理想。本文提出了一种基于小波包变换信号能量的损伤特征参数。利用所提出的特征参数,可以得到损伤检测结果。仿真结果表明,该方法在低信噪比环境下对裂纹的检测具有较强的鲁棒性。
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