基于缝隙辐射器的精密无线探伤仪目标检测与人工神经网络

2011 VIII International Conference on Antenna Theory and Techniques Pub Date : 2011-09-01 DOI:10.1109/ICATT.2011.6170772

A. Melnychuk, R. Yakymiv, O. Liske

{"title":"基于缝隙辐射器的精密无线探伤仪目标检测与人工神经网络","authors":"A. Melnychuk, R. Yakymiv, O. Liske","doi":"10.1109/ICATT.2011.6170772","DOIUrl":null,"url":null,"abstract":"In this paper dual polarization radiator construction based on slot lines was designed for use in the nondestructive testing of materials and components. For analysis of obtained spectrograms, artificial neural network (ANN) was developed. ANN can specify object composition and thickness, as well as it can detect presence and character of heterogeneities.","PeriodicalId":433613,"journal":{"name":"2011 VIII International Conference on Antenna Theory and Techniques","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Object detection by precision radiowave defectoscope based on a slot radiator with a use of artificial neural network\",\"authors\":\"A. Melnychuk, R. Yakymiv, O. Liske\",\"doi\":\"10.1109/ICATT.2011.6170772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper dual polarization radiator construction based on slot lines was designed for use in the nondestructive testing of materials and components. For analysis of obtained spectrograms, artificial neural network (ANN) was developed. ANN can specify object composition and thickness, as well as it can detect presence and character of heterogeneities.\",\"PeriodicalId\":433613,\"journal\":{\"name\":\"2011 VIII International Conference on Antenna Theory and Techniques\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 VIII International Conference on Antenna Theory and Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICATT.2011.6170772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 VIII International Conference on Antenna Theory and Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATT.2011.6170772","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

本文设计了一种基于槽线的双极化辐射结构，用于材料和部件的无损检测。对获得的谱图进行分析，采用了人工神经网络(ANN)。人工神经网络可以指定目标的组成和厚度，并且可以检测异质性的存在和特征。

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

Object detection by precision radiowave defectoscope based on a slot radiator with a use of artificial neural network

In this paper dual polarization radiator construction based on slot lines was designed for use in the nondestructive testing of materials and components. For analysis of obtained spectrograms, artificial neural network (ANN) was developed. ANN can specify object composition and thickness, as well as it can detect presence and character of heterogeneities.

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

2011 VIII International Conference on Antenna Theory and Techniques

自引率

0.00%

发文量