William E. Slauson, B. Lessard, Michael T. Hurley, R. Bossart, C. Paludi
{"title":"General Methodologies for Assessing EMI/EMC in Complex Electronic Circuits and Systems","authors":"William E. Slauson, B. Lessard, Michael T. Hurley, R. Bossart, C. Paludi","doi":"10.1109/MILCOM.1985.4794981","DOIUrl":null,"url":null,"abstract":"This paper introduces the procedures for utilizing two techniques, namely Fault Tree Analysis (FTA) and Electromagnetic Effects Criticality Analysis (EMECA), for assessing EMI/EMC in complex electronic circuits and systems. Application of these techniques are demonstrated by means of examples where, because of the use of digital, high-speed, high-density integrated circuit technologies, EMI/EMC assessments by traditional deterministic methods are inappropriate. The results illustrate the probability of achieving EMC while accounting for the statistical nature of EMI.","PeriodicalId":222578,"journal":{"name":"MILCOM 1985 - IEEE Military Communications Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 1985 - IEEE Military Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1985.4794981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces the procedures for utilizing two techniques, namely Fault Tree Analysis (FTA) and Electromagnetic Effects Criticality Analysis (EMECA), for assessing EMI/EMC in complex electronic circuits and systems. Application of these techniques are demonstrated by means of examples where, because of the use of digital, high-speed, high-density integrated circuit technologies, EMI/EMC assessments by traditional deterministic methods are inappropriate. The results illustrate the probability of achieving EMC while accounting for the statistical nature of EMI.