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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/20599

    Title: Optimal design of degradation tests in presence of cost constraint
    Authors: Wu, Shuo-jye;Chang, Chun-tao
    Contributors: 淡江大學統計學系
    Keywords: Degradation data;Nonlinear mixed integer programming;Nonlinear mixed-effect model;Reliability
    Date: 2002-05-01
    Issue Date: 2009-11-30 12:53:17 (UTC+8)
    Publisher: Elsevier
    Abstract: Degradation test is a useful technique to provide information about the lifetime of highly reliable products. We obtain the degradation measurements over time in such a test. In general, the degradation data are modeled by a nonlinear regression model with random coefficients. If we can obtain the estimates of parameters under the model, then the failure time distribution can be estimated. However, in order to obtain a precise estimate of the percentile of failure time distribution, one needs to design an optimal degradation test. Therefore, this study proposes an approach to determine the number of units to test, inspection frequency, and termination time of a degradation test under a determined cost of experiment such that the variance of estimator of percentile of failure time distribution is minimum. The method will be applied to a numerical example and the sensitivity analysis will be discussed.
    Relation: Reliability Engineering & System Safety 76(2), pp.109-115
    DOI: 10.1016/S0951-8320(01)00123-5
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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