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Now showing 1 - 4 of 4
  • Article
    Citation - WoS: 62
    Citation - Scopus: 69
    Estimation in Coherent Reliability Systems Through Copulas
    (Elsevier Sci Ltd, 2011) Eryilmaz, Serkan
    The problem of estimating the parameter of a common distribution of components' lifetimes from system's lifetime data is of interest and importance in reliability engineering. The present paper deals with this problem when the common component distribution is exponential with mean it and the lifetimes of components have an exchangeable joint distribution which is constructed by the help of Archimedean copula. In particular we obtain moment estimator of p for Clayton and Ali-Mikhail-Haq copulas. We illustrate the findings of the paper for a special class of coherent systems called consecutive k-within-m-out-of-n:F system. A simulation study is performed to investigate the properties of the moment estimator. The method presented in this paper can be applied to all coherent systems. (C) 2010 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 21
    Citation - Scopus: 24
    Optimization Problems for a Parallel System With Multiple Types of Dependent Components
    (Elsevier Sci Ltd, 2020) Eryilmaz, Serkan; Ozkut, Murat
    This paper is concerned with two optimization problems for a parallel system that consists of dependent components. First, the problem of finding the number of elements in the system that minimizes the mean cost rate of the system is considered. The second problem is concerned with the optimal replacement time of the system. Previous work assumes that the components are independent. We discuss the impact of dropping this assumption. In particular, we numerically examine how the dependence between the components affects the optimal number of units and replacement time for the system which minimize mean cost rates. We first consider the case when the components are exchangeable and dependent, i.e. the system consists of single type of dependent components. Subsequently, we consider a system that consists of multiple types of dependent components. Comparative numerical results are presented for particularly chosen dependence models.
  • Article
    Citation - WoS: 26
    Citation - Scopus: 28
    A Reliability Model for a Three-State Degraded System Having Random Degradation Rates
    (Elsevier Sci Ltd, 2016) Eryilmaz, Serkan
    For degraded multi-state systems, it has been assumed in the literature that, for any given system, the instantaneous degradation rates are fixed. This paper attempts to study a three-state degraded system that have random degradation rates among its states. In particular, a reliability model for such a three state system is presented assuming that the degradation rates are random and statistically dependent. The dependence is modeled by copulas, and dynamic reliability analysis of the system is performed. Graphical illustrations are provided, and comparisons are made with the corresponding results for the classical fixed rates model. (C) 2016 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 36
    Citation - Scopus: 39
    Reliability Based Modeling and Analysis for a Wind Power System Integrated by Two Wind Farms Considering Wind Speed Dependence
    (Elsevier Sci Ltd, 2020) Eryilmaz, Serkan; Kan, Cihangir
    Integrating multiple wind farms into power systems may reduce the fluctuation in total power output of wind farms and hence it decreases the system risk resulting from the wind speed variability. In this paper, a wind power system consisting of two wind farms is modeled and analyzed considering the dependence between wind speeds at two sites. In particular, the system is modeled as a threshold system and reliability values of wind turbines are also taken into account in capacity based calculations. The results are illustrated for the available bivariate wind speed data in the literature.