首页 >

面向任务阶段的加速寿命试验方案综合设计

刘晓娣,韩建立   

  1. 海军航空大学
  • 收稿日期:2024-04-14 修回日期:2024-06-05 出版日期:2024-06-07 发布日期:2024-06-07
  • 通讯作者: 刘晓娣
  • 基金资助:
    国家自然科学基金

Comprehensive design of the task-oriented accelerated life test plan

  • Received:2024-04-14 Revised:2024-06-05 Online:2024-06-07 Published:2024-06-07
  • Contact: Xiao-Di LIU
  • Supported by:
    National Natural Science Foundation of China

摘要: 弹上电子部件会随弹经历多个任务阶段,在加速寿命试验中各阶段独立设计,不考虑任务阶段间的影响,会给试验结果带来很大偏差。对此,本文提出一种Weibull分布下面向任务阶段的加速寿命试验综合设计方法。基于弹上部件在不同任务阶段的敏感应力分析,构建分段加速寿命模型;采用分层混合设计方法确定试验总体剖面,解决不同阶段应力水平的组合问题;采用基于失效率的变应力加速寿命试验模型进行整体设计,以正常应力条件下产品中位寿命估计的渐近方差最小为优化准则,采用极大似然估计理论,构建试验综合设计的数学模型,实现非恒定形状参数的Weibull分布下分阶段加速寿命试验的综合设计。算例分析验证了该方法的有效性。

关键词: 加速寿命试验, 任务阶段, 整体设计, 失效率, 最大似然估计

Abstract: The electronic components on the missile will go through multiple task stages, and the plan of each stage is designed independently without considering the influence between stages in the accelerated life test,which will bring great deviation to the test results. In this paper, a comprehensive design method of the task-oriented accelerated life test plan under Weibull distribution is proposed. Based on the sensitive stress analysis at different stages, a segmented accelerated life model is constructed. The hierarchical hybrid design method is used to determine the overall test profile to solve the problem of stress level combination in different stages. Then the failure rate-based variable stress accelerated life test model is used to design the two-stage overall plan. Taking the asymptotic variance of the median life estimation of the product under normal stress conditions as the optimization criterion, the maximum likelihood estimation theory is used to construct the mathematical model of the comprehensive design, so as to realize the ALT design under Weibull distribution with the non-constant shape parameter in stages. The effectiveness of the proposed method is verified by the case analysis.

Key words: accelerated life test, task stage, overall design, failure rate, maximum likelihood estimation

中图分类号: