可修复k/n表决系统随时间的生命状态分析与仿真

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (8): 1846-1853.

可修复k/n表决系统随时间的生命状态分析与仿真

方永锋¹, 陈建军²

1.贵州工程应用技术学院机械工程学院,贵州毕节551700;
2.西安电子科技大学机电工程学院,陕西西安 710071

收稿日期:2015-04-22 修回日期:2015-07-09 出版日期:2016-08-08 发布日期:2020-08-17
作者简介:方永锋(1975-),男,甘肃宁县,博士,副教授,研究方向为系统与结构可靠性的研究与设计;陈建军（1951-）,男,河北保定,教授,博导,研究方向为随机振动与控制,结构可靠性等。
基金资助:
国家自然科学基金(51175398),贵州省科学技术基金(黔科合J字[2014]2001号)

Repairable k/n Voting System Life Situation Model Analysis and Simulation from Time Response

Fang Yongfeng¹, Chen Jianjun²

1. School of Mechanical Engineering, Guizhou University of Engineering Science, Bijie 551700, China;
2. Ministry of Education Key Lab. of Electronic Equipment Structure, Xidian University, Xi'an 710071, China;

Received:2015-04-22 Revised:2015-07-09 Online:2016-08-08 Published:2020-08-17

摘要/Abstract

摘要： 由于根据人为经验给出k/n表决系统中k的设置具有随意性,根据系统单元承受的作用概率分布,利用应力-强度干涉理论,给出了单个单元的失效概率,由单元工作时的可靠与失效状态的转移情况,利用概率微分方程,建立了可修复k/n表决系统的动态可靠性预测模型,并给出了该模型的解。对可修复k/n表决系统中最少工作单元数目k的设置给出了理论依据。通过对算例的分析,表明了所建模型的准确性与可行性。

关键词: 可修复, k/n表决系统, 动态可靠性, 生命状态, 预测模型, 仿真

Abstract: For the k of k/n system is given according to the one's experience in the current, the probability of the failure of the singular system components was given according to the stress-strength interference theory and the load distribution of the component withstand. The dynamic reliability prediction model of the repairable k/n system was established by using probabilistic differential equations and by the repairable system components moving in reliable and failure. The equation was solved and their answers were shown to give the precisely k when the k would be determined. The model shows accuracy and feasibility by analysis of the example.

Key words: repairable, k/n voting system, dynamic reliability, life situation, prediction model, simulation

中图分类号:

Th122

方永锋, 陈建军. 可修复k/n表决系统随时间的生命状态分析与仿真[J]. 系统仿真学报, 2016, 28(8): 1846-1853.

Fang Yongfeng, Chen Jianjun. Repairable k/n Voting System Life Situation Model Analysis and Simulation from Time Response[J]. Journal of System Simulation, 2016, 28(8): 1846-1853.

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