淡江大學機構典藏:Item 987654321/121327
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121327


    Title: Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data
    Authors: Wang, L.;Zhang, C.;Tripathi, Y. M.;Dey, S.;Wu, S.-J.
    Keywords: accelerated life test;generalized estimation;maximum likelihood estimation;multicomponent system;Weibull distribution
    Date: 2021-10
    Issue Date: 2021-09-24 12:13:50 (UTC+8)
    Abstract: In this paper, reliability estimation of multicomponent system under a multilevel accelerated life testing. When the lifetime of components follows Weibull distribution, the problem of point and interval estimates are discussed from different perspectives. Under a general life-stress assumption that there are multiple nonconstant and stress-dependent scale and shape parameters, the maximum likelihood estimates of unknown parameters along with associated existence and uniqueness are established. Approximate confidence intervals are constructed correspondingly via expected Fisher information matrix. Furthermore, some pivotal quantities are constructed and alternative generalized point and interval estimates are also proposed for comparison. In addition, predictive intervals for the lifetime of the multicomponent system are discussed under classical and generalized pivotal approaches, respectively. The results show that the proposed generalized estimates are superior to the conventional likelihood approach in terms of the accuracy. A real data example is carried out to illustrate the implementations of the proposed methods.
    Relation: Quality and Reliability Engineering International 37(6), p.2603-2621
    DOI: 10.1002/qre.2878
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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