期刊文献+

基于Wiener过程的航天加注泵性能可靠性评估 被引量:3

Reliability Analysis of Charging Pump for Spaceflight Based on Wiener Process
下载PDF
导出
摘要 某型航天加注泵(简称加注泵)属于长寿命、高可靠性产品,失效数据极少。其长期处于备用状态,每次开机工作的时间极短。加注泵性能退化不但和累积工作时间关系紧密,而且和累积备用时间有很大的关系。对加注泵的性能可靠性评估方法展开研究,以Wiener过程模型为基础,提出以累积工作时间和备用时间同时作为自变量的建模方法,最终解决问题。 The charging pump for spaceflight is a product with a long life and high reliability,and its life data is rare.In most of its lifetime,it is in the stand by state with very short operating time.The degradation of the pump depends on not only the accumulative operating time,but also the accumulative non-operating time.In this paper,the method to evaluate the reliability of the pump is investigated,and the modeling method based on Wiener process in which both the accumulative operating time and the accumulative non-operating time are treated as independent variables is proposed to solve the problem.
出处 《电子产品可靠性与环境试验》 2011年第1期18-21,共4页 Electronic Product Reliability and Environmental Testing
基金 国家青年自然科学基金项目(60904002)资助
关键词 性能退化 可靠性 维纳过程 备用时间 performance degradation reliability Wiener process standby time
  • 相关文献

参考文献6

二级参考文献16

  • 1赵建印,孙权,彭宝华,周经伦.基于加速退化试验数据的可靠性分析[J].电子质量,2005(7):30-33. 被引量:16
  • 2Zehua,C.Shurong,Z.Lifetime distribution based degradation analysis[J].IEEE Transactions on Reliability,2005,54(1):3-10
  • 3Jayaram,J,S,R.,Girish,T.Reliability prediction through degradation data modeling using aquasi-likelihood approach[C].Proceedings Annual Reliability and Maintainability Symposium,2005:193-199
  • 4Di,X.,Wenbiao,Z.Reliability prediction using multivariate degradation data[C].Proceedings Annual Reliability and Maintainability Symposium,2005:337-341
  • 5Crk,V.Reliability assessment from degradation data[C].Proceedings Annual Reliability and Maitainability Symposium,2000:155-161
  • 6Lu,J.C.,Meeker,W.Q.Using degradation measures to estimation a time-to-failure distribution[J].Technometrics,1993,35(2):161-174
  • 7Lu,J.C.,Jinho Park,Qing Yang.Statistical inference of a time-tofailure distribution derived from linear degradation data[J].Technometrics,1997,39(4):391-400
  • 8Meeker,M.Q.,Escobar,L.A.Statistical Methods for Reliability Data[M].New York:John Wiley & Sons,Inc.1998
  • 9GERSBACKH I B, KORDONSKIY K B. Model of Failure(English transition from the Russian version) [M]. New York: Springer-Verlag, 1969.
  • 10NELSON W. Analysis of Performance Degradation Data from Accelerated Tests [J]. IEEE Transactions on Reliability, 1981, 30: 149--155.

共引文献143

同被引文献27

  • 1任淑红,左洪福,白芳.基于带漂移的布朗运动的民用航空发动机实时性能可靠性预测[J].航空动力学报,2009,24(12):2796-2801. 被引量:16
  • 2金星,洪延姬,陈景鹏,张明亮,彭明伟.发射场加注系统可靠性分析和评定方法[J].导弹与航天运载技术,2004(6):9-11. 被引量:1
  • 3赵建印,彭宝华,孙权,周经伦.金属化膜脉冲电容器退化失效分析[J].高电压技术,2006,32(3):62-64. 被引量:12
  • 4Cox D R, Miller H D. The theory of stochastic processes[M]. London:Chapman and Hall, 1965.
  • 5Doksum K A,Hoyland A. Models for variable-stress accel-erated life testing experiments based on Wiener processesand the inverse Gaussian distribution[J]. Technometrics,1992,34(1):74-82.
  • 6Whitmore G A. Estimating degradation by a Wiener diffu-sion process subject to measurement error [J], LifetimeData Analysis, 1995,1(3) :307-319.
  • 7Whitmore G A, Schenkelberg F. Modeling accelerated deg-radation data using Wiener diffusion with a time scaletransformation[J]. Lifetime Data Analysis, 1997,3 (1 ):27-45.
  • 8Park C, Padgett W J. Accelerated degradation models forfailure based on geometric Brownian motion and Gammaprocesses [ J ]. Lifetime Data Analysis, 2005,11 (4):511-527.
  • 9Onar A,Padgett W J. Accelerated test models with the in-verse Gaussian distribution[J], Journal of Statistical Plan-ning and Inference,2000,89(1/2) : 119-133.
  • 10Congdon P. Bayesian statistical modeling [M], Haboken,US:Wiley,2001.

引证文献3

二级引证文献33

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