A method for inhibition of product reliability degradation based on manufacturing process quality variation control

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI:10.1109/PHM.2016.7819798

Jin-yong Yao, Hao Wu, Yun Zhou

{"title":"A method for inhibition of product reliability degradation based on manufacturing process quality variation control","authors":"Jin-yong Yao, Hao Wu, Yun Zhou","doi":"10.1109/PHM.2016.7819798","DOIUrl":null,"url":null,"abstract":"Product reliability is determined by the design stage and qualified in the manufacturing stage. The fluctuations of manufacturing process result in inherent reliability lower than design reliability, called reliability degradation phenomenon. Based on the existing research on manufacturing system reliability and process reliability, this paper analyzes how the manufacturing process quality variation influences product reliability and studies the inhibition of product reliability degradation based on manufacturing process quality variation control. Firstly, the normal and abnormal manufacturing process fluctuations are explained and distinguished. After analyzing traditional process capability analysis, the Bayesian estimation based process capacity index analytical method aiming at the small batch production pattern is proposed and the superiority is verified. Finally, combined with state space model based variation source diagnosis, the framework of manufacturing process product reliability degradation inhibition is put forward.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM.2016.7819798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Product reliability is determined by the design stage and qualified in the manufacturing stage. The fluctuations of manufacturing process result in inherent reliability lower than design reliability, called reliability degradation phenomenon. Based on the existing research on manufacturing system reliability and process reliability, this paper analyzes how the manufacturing process quality variation influences product reliability and studies the inhibition of product reliability degradation based on manufacturing process quality variation control. Firstly, the normal and abnormal manufacturing process fluctuations are explained and distinguished. After analyzing traditional process capability analysis, the Bayesian estimation based process capacity index analytical method aiming at the small batch production pattern is proposed and the superiority is verified. Finally, combined with state space model based variation source diagnosis, the framework of manufacturing process product reliability degradation inhibition is put forward.

查看原文本刊更多论文

基于制造过程质量变化控制的产品可靠性退化抑制方法

产品的可靠性由设计阶段决定，在制造阶段合格。制造过程的波动导致固有可靠性低于设计可靠性，称为可靠性退化现象。在现有制造系统可靠性和过程可靠性研究的基础上，分析了制造过程质量变化对产品可靠性的影响，研究了基于制造过程质量变化控制对产品可靠性退化的抑制作用。首先，对正常和异常的制造过程波动进行了解释和区分。在分析传统工艺能力分析的基础上，针对小批量生产模式，提出了基于贝叶斯估计的工艺能力指标分析方法，并对其优越性进行了验证。最后，结合基于状态空间模型的变源诊断，提出了制造过程产品可靠性退化抑制的框架。

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分钟内获得全文求助全文

来源期刊

2016 Prognostics and System Health Management Conference (PHM-Chengdu)

自引率

0.00%

发文量