{"title":"Bayesian assessment method of device-level electromagnetic pulse effect based on Markov Chain Monte Carlo","authors":"C. Yuhao, Liu Kejie, Xie Yanzhao","doi":"10.1109/APEMC.2016.7522828","DOIUrl":null,"url":null,"abstract":"To assess the susceptibility of device under electromagnetic pulse (EMP) environment, simulation test is believed as an effective method. But during simulation tests, few data can be obtained to assess effect. This paper presents an effect threshold model of a communication device based on Bayesian method. The model parameters are optimized by Markov Chain Monte Carlo (MCMC) algorithm.","PeriodicalId":358257,"journal":{"name":"2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEMC.2016.7522828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
To assess the susceptibility of device under electromagnetic pulse (EMP) environment, simulation test is believed as an effective method. But during simulation tests, few data can be obtained to assess effect. This paper presents an effect threshold model of a communication device based on Bayesian method. The model parameters are optimized by Markov Chain Monte Carlo (MCMC) algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
