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Cluster Computing

, Volume 22, Supplement 4, pp 8793–8802 | Cite as

A novel accelerated degradation test design considering stress optimization

  • Dayong ShenEmail author
  • Tianyu Liu
  • Longfei Zhang
  • Jie Wang
  • Yumeng Liu
Article
  • 125 Downloads

Abstract

Constant stress accelerated degradation tests (CSADT) are widely used in life perdition for highly reliable products to infer the lifetime distribution under operating conditions. Optimal design of an CSADT can improve life prediction accuracy and reduce test costs significantly. In the literature of CSADT design, most approaches focus on how to determine the sample allocation scheme, inspection frequency and test duration, but the issue of how to optimize the stress levels is seldom considered. In this work, we propose a novel method to optimize the CSADT considering both stress levels selection and samples allocation. First, an accelerated degradation model based on the Wiener process is used to model the degradation data. Next, under the constraint of sample size, a local-search based iterative algorithm is proposed to optimize parameters including stress levels and sample number under each level so as to obtain an accurate estimate of the distribution statistics. Finally, a case study of lithium-ion batteries is presented to validate the proposed method.

Keywords

Degradation test design Stress optimization Wiener process Local search algorithm 

Notes

Acknowledgements

Funding was provided by National Natural Science Foundation of China (Grant Nos. 71472174, 61533019, 71232006, 61233001) and also Hunan Natural Science Foundation of China (Grant No. 2017JJ336).

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interests regarding the publication of this paper.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of System EngineeringNational University of Defense TechnologyChangshaChina
  2. 2.Qingdao Academy of Intelligent IndustriesQingdaoChina
  3. 3.Institute of SoftwareChinese Academy of SciencesBeijingChina

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