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A New Model for Repairable Systems with Nonmonotone Intensity Function
Author(s) -
Wang FuKwun,
Lu YiChen
Publication year - 2015
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1690
Subject(s) - akaike information criterion , bathtub , bounded function , intensity (physics) , mathematics , function (biology) , process (computing) , power function , estimation theory , mathematical optimization , computer science , statistics , mathematical analysis , physics , archaeology , quantum mechanics , evolutionary biology , biology , history , operating system
In this study, a new model based on the mixture of bounded Burr XII failure intensity and bounded intensity process is proposed to describe the failure intensity of minimally repaired systems with approximate bathtub behavior. The estimates of the model parameters are easily obtained using the maximum likelihood estimation method. The confidence intervals for the model parameters are also provided. Other existing models, such as superposed power law process, log‐linear process–power law process, and bounded bathtub intensity process are used to compare with our proposed model. Through numerical examples, the results show that our proposed model performs well regarding the Akaike information criterion value and the mean of square errors. Copyright © 2014 John Wiley & Sons, Ltd.