{"title":"线性微电路中的故障检测与分类","authors":"B. R. Epstein, M. Czigler","doi":"10.1109/ELECTR.1991.718227","DOIUrl":null,"url":null,"abstract":"Classical discrimination analysis and neural network techniques are used to detect and classify possible faults in linear microcircuits. The success rates of simulated fault detection and classification are described for various types of analog and mixed-mode circuits.","PeriodicalId":339281,"journal":{"name":"Electro International, 1991","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Detection And Classification In Linear Microcircuits\",\"authors\":\"B. R. Epstein, M. Czigler\",\"doi\":\"10.1109/ELECTR.1991.718227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Classical discrimination analysis and neural network techniques are used to detect and classify possible faults in linear microcircuits. The success rates of simulated fault detection and classification are described for various types of analog and mixed-mode circuits.\",\"PeriodicalId\":339281,\"journal\":{\"name\":\"Electro International, 1991\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electro International, 1991\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELECTR.1991.718227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electro International, 1991","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECTR.1991.718227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Detection And Classification In Linear Microcircuits
Classical discrimination analysis and neural network techniques are used to detect and classify possible faults in linear microcircuits. The success rates of simulated fault detection and classification are described for various types of analog and mixed-mode circuits.