期刊文献+

元器件性能退化信息的系统性能可靠性评估 被引量:8

System Performance Reliability Assessment Based on Degradation Data from Components
下载PDF
导出
摘要 性能可靠性方法为解决现代工程实际中的高可靠、长寿命、小子样产品的可靠性建模分析提供了途径。目前的性能可靠性研究主要是针对元器件开展的,对系统性能可靠性进行研究时通常需要将其看作一个元器件,需要得到系统的性能退化数据,在某些情况下,得到系统的性能退化数据比较困难。实际上,由于元器件的性能退化导致系统性能的变化,因而可以利用元器件的性能退化数据研究系统性能可靠性。从元器件性能与系统性能的关系出发,首先给出了系统可靠度的形式化描述,然后给出了系统可靠度计算的Monte-Carlo仿真方法和近似解析方法,最后通过实例分析验证了该方法的适用性。 Performance reliability methods provide an effective way for reliability modeling and analysis of highly reliable,long life,and small sampled products in modern engineering.The majority of existing performance reliability methods are developed for components.Systems are treated as a single component when using these methods.So usually system degradation data are needed,which are sometimes difficult to collect.As a matter of fact,the degradation of components results in the change of the system performance,so it is possible to analyze system performance reliability using degradation data from its components.This paper first formulates the system performance reliability based on the relationship between the performance of the system and its components.Then,two methods,the Monte-Carlo method and an approximate analytical method,for the calculation are presented.The applicability of the proposed method is showed through an example.
出处 《火力与指挥控制》 CSCD 北大核心 2011年第10期148-151,共4页 Fire Control & Command Control
基金 国家"863"计划基金(2006AA804806) 国家自然科学基金资助项目(60701006 60804054)
关键词 系统可靠性 可靠性评估 性能退化 MONTE-CARLO方法 FORM/SORM方法 system reliability reliability assessment performance degradation Monte-Carlo methods FORM/SORM
  • 相关文献

参考文献10

  • 1Rackwitz R. Reliability Analysis: A Review and Some Perspectives[Z]. Structural Safety,2001.
  • 2Styblinski M A, Huang M. Drift Reliability Optimization in IC Design tGeneralized Formulation and Practical Examples[J]. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, 1993,12 (8) : 1242-1252.
  • 3Van J A den bogaard, Shreeram J, Brombacher A C. A Method for Reliability Optimization Through Degradation Analysis and Robust Design[C]//In IEEE Proceedings of Reliability and Maintainability Symposium, Tampa, FL, USA,2003.
  • 4Van J A den bogaard,Shangguan D,Jayaram J S R, et al. Using Dynamic Reliability Models to Extend the Economic Life of Strongly Innovative Products [ C ]//In IEEE Proceedings of International Symposium on Electronics and the Environment, Scottsdale, AZ, USA,2004.
  • 5Nelson W. Analysis of Performance-degradation Data From Accelerated Tests[J]. IEEE Trans. on Rel. ,1981,R-30:149-155.
  • 6Lu C J,Meeker W Q. Using Degradation Measures to Estimate a Time-to-Failure Distribution [J]. Technometrics, 1993,35 (6) : 161-174.
  • 7Lu J C, Park .l, Yang Q. Statistical Inference of a Time-to-Failure Distribution Derived from Linear Degradation Data [J ]. Technometrics, 1997, 39 ( 3 ) : 391-400.
  • 8Xue J, Yang K. Continuous State Reliability Analysis [ C]//In Proe. Annual Reliability and Maintainability Symp, 1996.
  • 9孙权.神光III激光装置工程可靠性研究[M].长沙:国防科技大学.2005.
  • 10赵建印.基于性能退化数据的可靠性建模与应用研究[M].长沙:国防科技大学,2005.

同被引文献64

  • 1郭强,赵玫,孟光.随机振动条件下SMT焊点半经验疲劳寿命累积模型[J].振动与冲击,2005,24(2):24-26. 被引量:14
  • 2邓爱民,陈循,张春华,汪亚顺.基于性能退化数据的可靠性评估[J].宇航学报,2006,27(3):546-552. 被引量:133
  • 3史进渊.大容量电站锅炉的可靠性统计和分析[J].动力工程,2006,26(6):761-765. 被引量:4
  • 4袁雅芹.基于性能退化数据的航空液压泵可靠性分析[D].南京:南京理工大学,2009.
  • 5张永强,刘琦,周经纶.基于性能退化数据的可靠性评定方法的研究[J].飞行器测控学报,2003(3):38-39.
  • 6姜同敏.可靠性与寿命试验[M].北京:国防工业出版社,2012.
  • 7刘鹏飞,郭春生,李秀宁.序进应力下高频硅NPN晶体管3DG130可靠性评价及失效分析[C]//中国电子学会第十二届全国青年学术年会.北京:中国电子学会,2006:71-74.
  • 8黄伯权.基于性能退化模型的数控机床丝杠副寿命预测研究[D].西南交通大学,2008.
  • 9Tadashi Takemura, Hiroshi Fujimoto. Simultaneous identification of linear parameters and nonlinear rolling friction for ball screw driven stage[ A]. IECON 2011-37th Annual Conference of the IEEE Industrial Electronics Society [ C ] ,2011 : 3424 - 3429.
  • 10Zhang Y, Zhu J, Wang L M. Temperature prediction model of ro- tary kiln firing zone based on improved BP neural network [ A ]. 2011 Second International Conference on Intelligent System Design and Engineering Application[ C ] ,2011.

引证文献8

二级引证文献46

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部