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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/27387

    Title: Estimation of time-to-failure distribution derived from a degradation model using fuzzy clustering
    Authors: Wu, Shuo-jye;Tsai, Tzong-ru
    Contributors: 淡江大學統計學系
    Keywords: least squares method;nonlinear mixed-effect model;optimal fuzzy clustering method;reliability
    Date: 2000-07
    Issue Date: 2009-12-30 15:00:34 (UTC+8)
    Publisher: Wiley-Blackwell
    Abstract: Some life tests are terminated with few or no failures. In such cases, a recent approach is to obtain degradation measurements of product performance that may contain some useful information about product reliability. Generally degradation paths of products are modeled by a nonlinear regression model with random coefficients. If we can obtain the estimates of parameters under the model, then the time-to-failure distribution can be estimated. In some cases, the patterns of a few degradation paths are different from those of most degradation paths in a test. Therefore, this study develops a weighted method based on fuzzy clustering procedure to robust estimation of the underlying parameters and time-to-failure distribution. The method will be studied on a real data set.
    Relation: Quality and Reliability Engineering International 16(4), pp.261-267
    DOI: 10.1002/1099-1638(200007/08)16:4<261::AID-QRE333>3.0.CO;2-3
    Appears in Collections:[統計學系暨研究所] 期刊論文

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