Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models

In recent years, more attention has been paid prominently to accelerated degradation testing (ADT) in order to characterize accurate estimation of reliability properties for systems that are designed to work properly for years or even decades. In this paper, we propose optimal experimental designs for repeated measures ADTs with competing failure modes that correspond to multiple response components. The marginal degradation paths are expressed using linear mixed effects models. The optimal design is obtained by minimizing the asymptotic variance of the estimator of some quantile of the failure time distribution at the normal use conditions. Numerical examples are introduced to ensure the robustness of the proposed optimal designs and compare their efficiency with standard experimental designs.

• Publication year

  2021

• Venue

  Journal of Applied Statistics

• Publication date

  2021-06-17

• Fields of study

  Mathematics, Medicine, Engineering

• Identifiers
  DOI 10.1080/02664763.2022.2140332arXiv 2106.09379PMID 38414649PMCID PMC10898276
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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