{"title":"核电站热交换器管涡流试验指标的分类分析","authors":"J. Grman, Ĺ. Syrová","doi":"10.1109/RADIOELEK.2009.5158772","DOIUrl":null,"url":null,"abstract":"The contribution treats the topic of data transformation for classification of indications in the field of non-destructive defectoscopy by eddy-currents. Four algorithms for transformation of measured signal indications into suitable vectors of features will be presented. The contribution concentrates on the choice of coefficients from single or multiple vectors of features to define new data representation suitable for classification. Important is classification success and minimal dimension of result vector of features.","PeriodicalId":285174,"journal":{"name":"2009 19th International Conference Radioelektronika","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Classifiability analysis of indications by eddy-current testing of nuclear power plant heat-exchanger tube\",\"authors\":\"J. Grman, Ĺ. Syrová\",\"doi\":\"10.1109/RADIOELEK.2009.5158772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The contribution treats the topic of data transformation for classification of indications in the field of non-destructive defectoscopy by eddy-currents. Four algorithms for transformation of measured signal indications into suitable vectors of features will be presented. The contribution concentrates on the choice of coefficients from single or multiple vectors of features to define new data representation suitable for classification. Important is classification success and minimal dimension of result vector of features.\",\"PeriodicalId\":285174,\"journal\":{\"name\":\"2009 19th International Conference Radioelektronika\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 19th International Conference Radioelektronika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADIOELEK.2009.5158772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 19th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2009.5158772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classifiability analysis of indications by eddy-current testing of nuclear power plant heat-exchanger tube
The contribution treats the topic of data transformation for classification of indications in the field of non-destructive defectoscopy by eddy-currents. Four algorithms for transformation of measured signal indications into suitable vectors of features will be presented. The contribution concentrates on the choice of coefficients from single or multiple vectors of features to define new data representation suitable for classification. Important is classification success and minimal dimension of result vector of features.
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