English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57299/90901 (63%)
Visitors : 12982324      Online Users : 270
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58136


    Title: Optimal Sample Size Allocation for Accelerated Degradation Test Based on Wiener Process
    Authors: Tseng, Sheng-tsaing;Balakrishnan, N.;Tsai, Chih-chun
    Contributors: 淡江大學數學學系
    Keywords: Highly reliable products;Optimal sample size allocation;Accelerated degradation tests;Wiener process;Light emitting diodes
    Date: 2011-03
    Issue Date: 2011-09-29 20:59:10 (UTC+8)
    Publisher: New Jersey: John Wiley & Sons
    Abstract: Degradation tests are widely used to assess the reliability of highly reliable products which are not likely to fail under traditional life tests or accelerated life tests (ALT). However, for some highly reliable products, the degradation may be very slow, and thus it seems impossible to have a precise assessment within a reasonable test time. In such cases, an alternative technique is to use higher stresses to extrapolate the product’s reliability at the normal use stress. This is called an accelerated degradation test (ADT). In this article, motivated by a LEDs data, we discuss the optimal allocation problem under accelerated degradation experiment when a Wiener process is used to describe the product’s degradation path. We derive the Fisher information and the approximate variance of the estimated mean-time-to-failure (MTTF) under normal use. Three optimality criteria are defined and the optimal allocation of test units are determined.Finally, the LEDs data is illustrated to demonstrate the efficiency of the optimal allocation of test units.
    Relation: Methods and Applications of Statistics in Engineering, Quality Control, and the Physical Sciences, pp.330-343
    Appears in Collections:[Graduate Institute & Department of Mathematics] Chapter

    Files in This Item:

    There are no files associated with this item.

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback