小波处理在高层混响和噪声干扰下超声探伤仪信号处理中的应用

2015 XVIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2015-05-19 DOI:10.1109/SCM.2015.7190467

V. Konovalova, A. Perkova, E. S. Suloyeva

{"title":"小波处理在高层混响和噪声干扰下超声探伤仪信号处理中的应用","authors":"V. Konovalova, A. Perkova, E. S. Suloyeva","doi":"10.1109/SCM.2015.7190467","DOIUrl":null,"url":null,"abstract":"The paper describes the way to get a useful component of the ultrasonic defectoscope signal at high-rise reverberation and noise interference. The useful component is got with the thresholding of detail factors of a wavelet-decomposition. Probability of the 1st and 2nd type mistake is examined.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wavelet-processing usage over the ultrasonic defectoscope signal at high-rise reverberation and noise interference\",\"authors\":\"V. Konovalova, A. Perkova, E. S. Suloyeva\",\"doi\":\"10.1109/SCM.2015.7190467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the way to get a useful component of the ultrasonic defectoscope signal at high-rise reverberation and noise interference. The useful component is got with the thresholding of detail factors of a wavelet-decomposition. Probability of the 1st and 2nd type mistake is examined.\",\"PeriodicalId\":106868,\"journal\":{\"name\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2015.7190467\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了在高层混响和噪声干扰下，超声探伤器信号有用分量的提取方法。对小波分解的细节因子进行阈值处理，得到有用的分量。检查第一类和第二类错误的概率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Wavelet-processing usage over the ultrasonic defectoscope signal at high-rise reverberation and noise interference

The paper describes the way to get a useful component of the ultrasonic defectoscope signal at high-rise reverberation and noise interference. The useful component is got with the thresholding of detail factors of a wavelet-decomposition. Probability of the 1st and 2nd type mistake is examined.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 XVIII International Conference on Soft Computing and Measurements (SCM)

自引率

0.00%

发文量