带保护块系统的参数估计

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Coşkun Kuş , Serkan Eryilmaz
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引用次数: 0

摘要

研究了带保护块系统中未知参数的估计问题。根据保护块是否存在,系统具有不同的故障率,因为保护块是根据其自身的寿命分布建模的,并为系统提供了额外的故障组件。在寿命呈指数分布的假设下对模型进行了分析,研究了模型的分布特性及其未知参数的估计问题。得到了极大似然估计量的封闭表达式。进一步推导了估计量的理论期望值和方差。我们还讨论了应力-强度可靠性估计问题,并构造了相关可靠性度量的置信区间。数值结果验证了所提方法的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of parameters for a system equipped with protection block
This paper studies the problem of estimating unknown parameters involved in a system which is equipped with a protection block. The system has different failure rates depending on whether the protection block is present or not, as the protection block is modeled by its own lifetime distribution and contributes an additional failure component to the system. The model is analyzed under the assumption of exponentially distributed lifetimes, leading to the study of its distributional properties and the estimation problem for its unknown parameters. Closed-form expressions for the maximum likelihood estimators are obtained. Furthermore, theoretical expectations and variances of the estimators are derived. We also discuss the stress–strength reliability estimation problem and construct confidence intervals for the associated reliability measure. Numerical results are provided to demonstrate the implementation of the proposed methods.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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