中国机械工程 ›› 2013, Vol. 24 ›› Issue (11): 1500-1504.

• 机械基础工程 • 上一篇    下一篇

多台同型产品同步纠正可靠性增长试验数据统计分析方法研究

潘骏;靳方建;陈文华;王孟;许锐敏;朱旭洋   

  1. 浙江理工大学浙江省机电产品可靠性技术研究重点实验室,杭州,310018
  • 出版日期:2013-06-10 发布日期:2013-06-04
  • 基金资助:
    国家自然科学基金资助项目(51075370,50935002,51105341);浙江省重点科技创新团队资助项目(2010R50005) 
    National Natural Science Foundation of China(No. 51075370,50935002,51105341);

Research on Statistical Method of Reliability Growth Testing Data for Multi-systems with Synchronous Corrective Actions

Pan Jun;Jin Fangjian;Chen Wenhua;Wang Meng;Xu Ruimin;Zhu Xuyang   

  1. Zhejiang Province's Key Laboratory of Reliability Technology for Mechanical & Electrical Product,Zhejiang Sci-Tech University,Hangzhou,310018
  • Online:2013-06-10 Published:2013-06-04
  • Supported by:
     
    National Natural Science Foundation of China(No. 51075370,50935002,51105341);

摘要:

多台同型产品同步纠正可靠性增长试验所得到的数据是单失效数据,依据美军标/国军标和AMSAA-BISE模型得到的分析结果,该数据往往高于产品实际可靠性水平。针对这种情况,提出一种数据统计分析的新方法,即先采取多层Bayes估计法和加权最小二乘估计法,求得各个失效发生时间的期望值,替代单台AMSAA模型中的失效时间,再实现对产品可靠性增长试验数据的统计分析。通过对以上方法进行蒙特卡罗模拟,对比分析结果表明,利用新方法所得结果更接近产品的实际可靠性水平。

关键词: 可靠性增长, AMSAA模型, AMSAA-BISE模型, 多台同型产品, 同步纠正, 多层Bayes估计

Abstract:

The values of reliability assessment based on the MIL-HDBK-189, GJB/Z77 and AMSAA-BISE model for the failure data would be greater than the actual values.Herein, the expectation of each time-to-failure was fist obtained by using the hierarchical Bayesian method and least squares estimation method. Then, the growth testing data was analyzed through a new model obtained by substituting the expectation for the time-to-failure in AMSAA model. The effects of the three statistical methods mentioned above were assessed based on the Monte Carlo method. The results indicate the values of reliability assessment by applying the method proposed are closer to the actual values.

Key words: reliability growth, AMSAA model, AMSAA-BISE model, multi-systems, synchronous corrective action, hierarchical Bayesian estimation

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