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爱尔兰分布与指数分布并联系统的可靠度比较与经济分析
引用本文:谢超凡,徐鲁雄,徐琳.爱尔兰分布与指数分布并联系统的可靠度比较与经济分析[J].南华大学学报(自然科学版),2016,30(1):71-76.
作者姓名:谢超凡  徐鲁雄  徐琳
作者单位:福建师范大学福清分校 电信学院,福建 福清 350300,福建师范大学福清分校 电信学院,福建 福清 350300,福建师范大学福清分校 电信学院,福建 福清 350300
基金项目:福建省教育厅基金资助项目(JB14134)
摘    要:在构建复杂系统时,为了提高系统的运行可靠度,决策者往往采取冗余备份或者将元件并联.但在采取冗余备份时,需要增加系统检测设备与开关零件,这又显著地增加了经济费用;此外,开关的可靠度也会对系统的可靠度造成影响.本文将对服从指数分布的并联系统可靠度与爱尔兰分布式冗余备份系统进行比较,首先分析元件个数的增加或者并联个数的增加所带来的系统边际可靠度的提高,进而研究在经济费用约束的条件下是实行并联还是实行爱尔兰分布式的冗余备份,以及对开关经济成本等变量作最优可靠度灵敏度分析.

关 键 词:可靠度  爱尔兰分布  指数分布  并联系统
收稿时间:2015/9/19 0:00:00

The Reliability and Economic Analysis Comparison Between ParallelSystem and Erlang Distribution System
XIE Chao-fan,XU Lu-xiong and XU Lin.The Reliability and Economic Analysis Comparison Between ParallelSystem and Erlang Distribution System[J].Journal of Nanhua University:Science and Technology,2016,30(1):71-76.
Authors:XIE Chao-fan  XU Lu-xiong and XU Lin
Institution:Electronic Information Engineering Institute,Fuqing Branch of FuJian Normal University,Fuqing,Fujian 350300,China,Electronic Information Engineering Institute,Fuqing Branch of FuJian Normal University,Fuqing,Fujian 350300,China and Electronic Information Engineering Institute,Fuqing Branch of FuJian Normal University,Fuqing,Fujian 350300,China
Abstract:In order to improve the reliability of complex system,decision makers tend to take redundant backup or parallel the components.However,taking redundant backup would increase the number of system detection equipment and switch parts,which has great effect on the cost and the reliability of the system.This paper attempts to compare the reliability of the exponential distribution of the parallel system with that of the redundancy systems,analyze increase of the number of components in the two system,which brings improvement of marginal reliability of system,and study whether to apply parallel or Erlang distribution redundant backup in the economic cost constraints,to further analyze the impact of the economic cost of the switch.
Keywords:reliability  Erlang distribution  exponential distribution  parallel system
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