{"title":"神经网络在超声无损检测中的应用(综述)","authors":"V. G. Badalyan, A. Vopilkin","doi":"10.14489/td.2022.05.pp.012-025","DOIUrl":null,"url":null,"abstract":"A review of the current state and experience of the practical application of artificial neural networks in ultrasonic non-destructive testing is presented. Separately, the features of the use of neural networks for the classification of defects according to data obtained by echo-pulse methods and the TOFD are considered. Information is given on the efficiency of defect classification using neural networks for various ultrasonic testing tasks.","PeriodicalId":432853,"journal":{"name":"Kontrol'. Diagnostika","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"APPLICATION OF NEURAL NETWORKS IN ULTRASONIC NON-DESTRUCTIVE TESTING (REVIEW)\",\"authors\":\"V. G. Badalyan, A. Vopilkin\",\"doi\":\"10.14489/td.2022.05.pp.012-025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A review of the current state and experience of the practical application of artificial neural networks in ultrasonic non-destructive testing is presented. Separately, the features of the use of neural networks for the classification of defects according to data obtained by echo-pulse methods and the TOFD are considered. Information is given on the efficiency of defect classification using neural networks for various ultrasonic testing tasks.\",\"PeriodicalId\":432853,\"journal\":{\"name\":\"Kontrol'. Diagnostika\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kontrol'. Diagnostika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14489/td.2022.05.pp.012-025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kontrol'. Diagnostika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14489/td.2022.05.pp.012-025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
APPLICATION OF NEURAL NETWORKS IN ULTRASONIC NON-DESTRUCTIVE TESTING (REVIEW)
A review of the current state and experience of the practical application of artificial neural networks in ultrasonic non-destructive testing is presented. Separately, the features of the use of neural networks for the classification of defects according to data obtained by echo-pulse methods and the TOFD are considered. Information is given on the efficiency of defect classification using neural networks for various ultrasonic testing tasks.
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