The Application of Improved Bayesian Method in Reliability Evaluation

Lei Zhang, Guang Feng, Zhen Hu
{"title":"The Application of Improved Bayesian Method in Reliability Evaluation","authors":"Lei Zhang, Guang Feng, Zhen Hu","doi":"10.12783/dtetr/mcaee2020/35035","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the traditional reliability method with small failure samples cannot accurately calculate the reliability, this paper makes full use of existing information and expert information, etc. Based on the combination of prior information and constrained no prior information, the improved Bayesian method is used to establish reliability. Sexual analysis model. First, a weighted fusion method is used to establish a joint prior distribution that combines prior information with constrained and no prior information according to the credibility of the prior information to the posterior information. At the same time, the robustness of the joint prior distribution is analyzed; The prior distribution is combined with the posterior information to calculate the posterior distribution form of the distribution parameter, and the distribution parameter value and the mean time between failures are calculated.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Engineering and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtetr/mcaee2020/35035","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

Aiming at the problem that the traditional reliability method with small failure samples cannot accurately calculate the reliability, this paper makes full use of existing information and expert information, etc. Based on the combination of prior information and constrained no prior information, the improved Bayesian method is used to establish reliability. Sexual analysis model. First, a weighted fusion method is used to establish a joint prior distribution that combines prior information with constrained and no prior information according to the credibility of the prior information to the posterior information. At the same time, the robustness of the joint prior distribution is analyzed; The prior distribution is combined with the posterior information to calculate the posterior distribution form of the distribution parameter, and the distribution parameter value and the mean time between failures are calculated.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
改进贝叶斯方法在可靠性评估中的应用
针对传统的小故障样本可靠性方法不能准确计算可靠性的问题,充分利用现有信息和专家信息等。在先验信息与约束无先验信息相结合的基础上,采用改进的贝叶斯方法建立可靠性。性分析模型。首先,根据先验信息对后验信息的可信度,采用加权融合的方法建立先验信息与约束和无先验信息相结合的联合先验分布;同时对联合先验分布的鲁棒性进行了分析;将先验分布与后验信息相结合,计算出分布参数的后验分布形式,并计算出分布参数值和平均故障间隔时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of Competitiveness of High-Tech Industry in Nanjing Based on Porter Diamond Model Construction and Design of All-Media Digital Textbook Design of 3D Model Database of Substation Equipment Based on Access Software Design of Deicing Device for Air Vent of Cold Storage Evaluating the Collaborative Innovation Performance of Advanced Manufacturing Industry and Modern Service Industry Based on Extension Method
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1