馈线故障间隔时间的建模与贝叶斯分析

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY

Modelling and Simulation in Engineering Pub Date : 2022-05-30 DOI:10.1155/2022/5830945

Kahkashan Ateeq, Saima Altaf, Muhammad Aslam

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引用次数: 1

摘要

在巴基斯坦夏季，电动馈线故障是一个常见的问题。本文对巴基斯坦木尔坦市电力系统的一个问题进行了研究。城市电力馈线故障之间的时间间隔已通过建议逆瑞利指数分布来建模。分布的参数分别用频率论范式和贝叶斯范式估计。由于信息先验下的Bayes估计量不能以封闭形式得到，本文对Lindley和Tierney-Kadane近似下的Bayes估计量进行了比较分析。仿真研究和实际数据集评估了模型的有效性以及贝叶斯估计量相对于极大似然估计量的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling and Bayesian Analysis of Time between the Breakdown of Electric Feeders

The failure of electric feeders is a common problem in the summer season in Pakistan. In this article, one of the troubling aspects of the electric power system of Pakistan (Multan city) has been studied. The time lapses between the breakdown of electric feeders of the city have been modeled by suggesting an inverse Rayleigh-exponential distribution. The parameters of the distribution are estimated in both the frequentist and Bayesian paradigms. Since the Bayes estimators under informative priors are not attained in the closed form, this paper provides a comparative analysis of the Bayes estimators under Lindley and Tierney–Kadane approximation methods. The simulation study and the real-life data set assessed the validity of the model and the superiority of the Bayes estimators over the maximum likelihood estimators.

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来源期刊

Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.70

自引率

3.10%

发文量

审稿时长

18 weeks

期刊介绍： Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.