{"title":"非定常热波成像法无损检测钢样","authors":"V. Arora, Ravibabu Mulaveesala, G. Subbarao","doi":"10.1109/SPACES.2015.7058212","DOIUrl":null,"url":null,"abstract":"This contribution demonstrates an application of non-stationary frequency modulated thermal wave imaging technique for the numerical characterization of a mild steel sample containing random shape defects. Frequency and time domain based phase analysis schemes are implemented on the recorded thermal profiles and their detectabilities are compared by taking signal to noise ratio into consideration.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-destructive testing of steel sample by non-stationary thermal wave imaging\",\"authors\":\"V. Arora, Ravibabu Mulaveesala, G. Subbarao\",\"doi\":\"10.1109/SPACES.2015.7058212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This contribution demonstrates an application of non-stationary frequency modulated thermal wave imaging technique for the numerical characterization of a mild steel sample containing random shape defects. Frequency and time domain based phase analysis schemes are implemented on the recorded thermal profiles and their detectabilities are compared by taking signal to noise ratio into consideration.\",\"PeriodicalId\":432479,\"journal\":{\"name\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPACES.2015.7058212\",\"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 International Conference on Signal Processing and Communication Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPACES.2015.7058212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-destructive testing of steel sample by non-stationary thermal wave imaging
This contribution demonstrates an application of non-stationary frequency modulated thermal wave imaging technique for the numerical characterization of a mild steel sample containing random shape defects. Frequency and time domain based phase analysis schemes are implemented on the recorded thermal profiles and their detectabilities are compared by taking signal to noise ratio into consideration.