Accelerated Degradation Test Planning for Multi-stage Mission Systems
LEI Xing
WANG Ziyu
ZHAO Xiujie
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.
Keywords:reliabilityaccelerated degradation testoptimal designmulti-stage mission systemmission success probability
Publication Date:2025-08-30
Online Publishing Date:2025-09-22(First online date of this platform, not the publication date of the document)
Pages:12( 89-100 )
Industrial Engineering Journal

Industrial Engineering Journal

ISTIC
ISSN:1007-7375
Year, Vol.(Issue):2025,28(4)