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面向多阶段任务系统的加速退化试验方案

雷星 王紫钰 赵秀杰

工业工程2025,Vol.28Issue(4):89-100,12.
工业工程2025,Vol.28Issue(4):89-100,12.DOI:10.3969/j.issn.1007-7375.250060

面向多阶段任务系统的加速退化试验方案

Accelerated Degradation Test Planning for Multi-stage Mission Systems

雷星 1王紫钰 1赵秀杰1

作者信息

  • 1. 天津大学 管理与经济学部,天津 300072
  • 折叠

摘要

Abstract

To address the reliability assessment requirements of multi-stage mission systems,this study proposes an optimized design framework for accelerated degradation testing based on the Wiener degradation model.A mission success probability model is established to analyze the joint effects of load heterogeneity and temporal asymmetry across mission stages.Utilizing the large-sample approximation method,the asymptotic variance of parameter estimation is derived as the optimization objective to determine the optimal test plan.Numerical case studies reveal that high-load stages dominate resource allocation due to their nonlinear degradation characteristics,necessitating increased component allocation to capture rapid degradation patterns.Reduced stage duration amplifies the variance of parameter estimation,requiring a higher proportion of high-load group resources to compensate for data insufficiency.Two compromise rules are further proposed,and quantitative analyses using relative efficiency metrics demonstrate a positive correlation between mission complexity and efficiency loss.The resource-biased strategy achieves superior balance between estimation accuracy and practical constraints,providing actionable suboptimal solutions for engineering applications.

关键词

可靠性/加速退化试验/最优设计/多阶段任务系统/任务成功概率

Key words

reliability/accelerated degradation test/optimal design/multi-stage mission system/mission success probability

分类

通用工业技术

引用本文复制引用

雷星,王紫钰,赵秀杰..面向多阶段任务系统的加速退化试验方案[J].工业工程,2025,28(4):89-100,12.

基金项目

国家自然科学基金资助项目(72371182,72261147706,72002149) (72371182,72261147706,72002149)

工业工程

1007-7375

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