双峰电磁失效的实验数据和统计模型

A. Fischer, A. Abel, M. Lepper, A. Zitzelsberger, A. von Glasow
{"title":"双峰电磁失效的实验数据和统计模型","authors":"A. Fischer, A. Abel, M. Lepper, A. Zitzelsberger, A. von Glasow","doi":"10.1109/RELPHY.2000.843940","DOIUrl":null,"url":null,"abstract":"The correct model for the electromigration failure distribution is a key issue in reliability methodology. Usually, the failure times of a sample are fitted by a single log-normal distribution. However, in some cases relevant deviations can be found. In this paper two types of non-log-normal distributions observed on via-line structures are discussed. They can be modeled by two types of bimodal distributions, each composed of two log-normal distributions. Both models consider different failure mechanisms within the sample or specimen. Experimental data sets coinciding with either model will be presented. The physical failure analysis confirms the model assumptions and supports the bimodal distribution concept.","PeriodicalId":6387,"journal":{"name":"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Experimental data and statistical models for bimodal EM failures\",\"authors\":\"A. Fischer, A. Abel, M. Lepper, A. Zitzelsberger, A. von Glasow\",\"doi\":\"10.1109/RELPHY.2000.843940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The correct model for the electromigration failure distribution is a key issue in reliability methodology. Usually, the failure times of a sample are fitted by a single log-normal distribution. However, in some cases relevant deviations can be found. In this paper two types of non-log-normal distributions observed on via-line structures are discussed. They can be modeled by two types of bimodal distributions, each composed of two log-normal distributions. Both models consider different failure mechanisms within the sample or specimen. Experimental data sets coinciding with either model will be presented. The physical failure analysis confirms the model assumptions and supports the bimodal distribution concept.\",\"PeriodicalId\":6387,\"journal\":{\"name\":\"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RELPHY.2000.843940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RELPHY.2000.843940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

摘要

电迁移故障分布的正确模型是可靠性方法论中的一个关键问题。通常,一个样本的失效次数是由一个单对数正态分布拟合的。然而,在某些情况下,可以发现相关的偏差。本文讨论了在过线结构上观测到的两类非对数正态分布。它们可以用两种类型的双峰分布来建模,每一种都由两个对数正态分布组成。两种模型都考虑了试样或试样内部不同的破坏机制。实验数据集符合任何一个模型将被提出。物理破坏分析证实了模型假设,支持双峰分布概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental data and statistical models for bimodal EM failures
The correct model for the electromigration failure distribution is a key issue in reliability methodology. Usually, the failure times of a sample are fitted by a single log-normal distribution. However, in some cases relevant deviations can be found. In this paper two types of non-log-normal distributions observed on via-line structures are discussed. They can be modeled by two types of bimodal distributions, each composed of two log-normal distributions. Both models consider different failure mechanisms within the sample or specimen. Experimental data sets coinciding with either model will be presented. The physical failure analysis confirms the model assumptions and supports the bimodal distribution concept.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信