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Design of accelerated life testing plans under multiple stresses

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  • Yada Zhu
  • Elsayed A. Elsayed

Abstract

Accelerated life testing (ALT) using multiple stresses is commonly used in practice to resemble the operating stresses at normal operating conditions and obtain failure observations in a much shorter time. However, to date, there is little research into the theory of planning ALT for reliability estimation with multiple stresses. ALT with multiple stresses can result in a large number of stress‐level combinations which presents a challenge for implementation. In this article, we propose an approach for the design of ALT plans with multiple stresses and formulate multistress test plans based on different objectives and practical constraints. We develop a simulated annealing algorithm to efficiently determine the testing plan parameters. We demonstrate the proposed method with examples based on an actual test conducted using three stress types. The obtained optimal test plans are compared with those based on fractional factorial design. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 468–478, 2013

Suggested Citation

  • Yada Zhu & Elsayed A. Elsayed, 2013. "Design of accelerated life testing plans under multiple stresses," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(6), pages 468-478, September.
    • Handle: RePEc:wly:navres:v:60:y:2013:i:6:p:468-478
    DOI: 10.1002/nav.21545
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    References listed on IDEAS

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    1. Jung‐Won Park & Bong‐Jin Yum, 1996. "Optimal design of accelerated life tests with two stresses," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(6), pages 863-884, September.
    2. Elsayed A. Elsayed & Hao Zhang, 2009. "Design of optimum multiple-stress accelerated life testing plans based on proportional odds model," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 7(3/4), pages 186-198.
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    Cited by:

    1. Wu, Shuo-Jye & Huang, Syuan-Rong, 2017. "Planning two or more level constant-stress accelerated life tests with competing risks," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 1-8.
    2. Liu, Yao & Wang, Yashun & Fan, Zhengwei & Bai, Guanghan & Chen, Xun, 2021. "Reliability modeling and a statistical inference method of accelerated degradation testing with multiple stresses and dependent competing failure processes," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    3. Lin, Kunsong & Chen, Yunxia & Xu, Dan, 2017. "Reliability assessment model considering heterogeneous population in a multiple stresses accelerated test," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 134-143.
    4. Wu, Shuo-Jye & Hsu, Chu-Chun & Huang, Syuan-Rong, 2020. "Optimal designs and reliability sampling plans for one-shot devices with cost considerations," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Ekene Gabriel Okafor & Whit Vinson & David Ryan Huitink, 2023. "Effect of Stress Interaction on Multi-Stress Accelerated Life Test Plan: Assessment Based on Particle Swarm Optimization," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    6. Zhang, Hanxiao & Li, Yan-Fu, 2022. "Integrated optimization of test case selection and sequencing for reliability testing of the mainboard of Internet backbone routers," European Journal of Operational Research, Elsevier, vol. 299(1), pages 183-194.

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