IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v45y2013i11p1176-1187.html
   My bibliography  Save this article

Optimal design of accelerated life testing plans under progressive censoring

Author

Listed:
  • Yada Zhu
  • Elsayed Elsayed

Abstract

This article investigates the design of accelerated life testing plans under progressive censoring when test units experience competing failure modes and are subjected to either single or multiple stress types. The optimal test plan results in failure data at accelerated conditions that can then be used to obtain accurate reliability prediction at normal conditions. The new test plan criterion is based on the minimization of the asymptotic variance of the mean time of first failure and meets practical constraints. Numerical examples based on parameters from a real test are presented to illustrate the application of the proposed method.

Suggested Citation

  • Yada Zhu & Elsayed Elsayed, 2013. "Optimal design of accelerated life testing plans under progressive censoring," IISE Transactions, Taylor & Francis Journals, vol. 45(11), pages 1176-1187.
    • Handle: RePEc:taf:uiiexx:v:45:y:2013:i:11:p:1176-1187
    DOI: 10.1080/0740817X.2012.725504
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2012.725504
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2012.725504?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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).
    4. 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.
    5. Fariba Azizi & Firoozeh Haghighi & Elahe Ghadiri & Leila Torabi, 2017. "Statistical inference for masked interval data with Weibull distribution under simple step-stress test and tampered failure rate model," Journal of Risk and Reliability, , vol. 231(6), pages 654-665, December.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:uiiexx:v:45:y:2013:i:11:p:1176-1187. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.