期刊文献+

广义逆高斯过程的步进应力加速退化试验设计 被引量:5

Step-Stress Accelerated Degradation Test Plan for Generalized Inverse Gaussian Process
下载PDF
导出
摘要 对于高可靠性、长寿命产品的寿命估计问题,步进应力加速退化试验是一种经济快捷有效的方法.为了解决步进应力加速退化试验中样本量、测量时间间隔和各应力下测量次数的配置问题,建立描述产品性能退化轨迹的广义逆高斯过程,采用改进的蒙特卡洛模拟方法估计模型的参数.给出产品分位寿命渐近方差的表达式,并以其最小化为目标,在试验总费用、试验样本量和试验时间的限制下,探讨步进应力退化试验的优化配置.最后通过实例,验证了模型和方法的正确性和实用性. For assessing the lifetime of highly reliable and long lifetime products,the step-stress accelerated degradation test is an economical,quick and useful tool.To handle the problem of settings of sample size,measurement frequency and number of measurements for step-stress accelerated degradation test,ageneralized inverse Gaussian process was used to describe the degradation path.A modified Monte Carlo method was applied to obtain the estimation of the parameters.Under the constraint about the total experimental budget,sample size and termination time,the optimal configuration for step-stress accelerated degradation test was determined by minimizing the asymptotic variance of the estimated quantile of the lifetime distribution of the product.Finally,an example was given to illustrate the proposed model and method.
作者 李烁 陈震 潘尔顺 LI Shuo CHEN Zhen PAN Ershun(School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, Chin)
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2017年第2期186-192,共7页 Journal of Shanghai Jiaotong University
基金 国家自然科学基金资助项目(51475289)
关键词 广义逆高斯过程 步进应力 加速退化试验 优化配置 inverse Gaussian process step-stress accelerated degradation test optimal configuration
  • 相关文献

参考文献2

二级参考文献57

  • 1Whitmore G. Estimating degradation by a Wiener dif-fusion process subject to measurement error [ J ].Lifetime Data Analysis,1995,1(3) : 307-319.
  • 2Whitmore G A,Schenkelberg F. Modelling acceler-ated degradation data using Wiener diffusion with atime scale transformation [J]. Lifetime Data Analy-sis, 1997, 3(1): 27-45.
  • 3Wang X. Wiener processes with random effects fordegradation data [J]. Journal of Multivariate Analy-sis, 2010, 101(2) : 340-351.
  • 4Peng C Y, Tseng S T. Statistical lifetime inferencewith skew-Wiener linear degradation models [J],IEEE Transactions on Reliability, 2013,62(2) : 338350.
  • 5Si X S, Wang G W, Hu C H, et al. A Wiener-process-based degradation model with a recursive fil-ter algorithm for remaining useful life estimation [J].Mechanical Systems and Signal Processing,2013,35(1-2) : 219-37.
  • 6Onar A,Padgett W J. Accelerated test models with theinverse Gaussian distribution [J]. Journal of StatisticalPlanning and Inference4 2000,89(1) : 119-133.
  • 7Padgett W J,Tomlinson M A. Inference from accel-erated degradation and failure data based on Gaussianprocess models [J]. Lifetime Data Analysis, 2004,10(2) : 191-206.
  • 8Meeker W Q,Escobar L A. Statistical methods forreliability data [ M]. USA : John Wiley and Sons,1998.
  • 9Ntzoufras I. Bayesian modeling using WinBUGS[M], USA: John Wiley and Sons,2009.
  • 10Chernick M R. Bootstrap methods: A guide for prac-titioners and researchers [M]. USA: John Wiley andSons,2011.

共引文献33

同被引文献66

引证文献5

二级引证文献48

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