English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 55542/89862 (62%)
造訪人次 : 11010810      線上人數 : 36
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58136

    題名: Optimal Sample Size Allocation for Accelerated Degradation Test Based on Wiener Process
    作者: Tseng, Sheng-tsaing;Balakrishnan, N.;Tsai, Chih-chun
    貢獻者: 淡江大學數學學系
    關鍵詞: Highly reliable products;Optimal sample size allocation;Accelerated degradation tests;Wiener process;Light emitting diodes
    日期: 2011-03
    上傳時間: 2011-09-29 20:59:10 (UTC+8)
    出版者: New Jersey: John Wiley & Sons
    摘要: 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.
    關聯: Methods and Applications of Statistics in Engineering, Quality Control, and the Physical Sciences, pp.330-343
    顯示於類別:[數學學系暨研究所] 專書之單篇





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