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基于MC 仿真的系统可靠性建模分析
引用本文:张春华. 基于MC 仿真的系统可靠性建模分析[J]. 兵工自动化, 2022, 41(6): 78-84. DOI: 10.7690/bgzdh.2022.06.015
作者姓名:张春华
作者单位:湖南交通工程学院高科技研究院,长沙 410003,湖南挚新科技发展有限公司,长沙 410003
基金项目:湖南省自然科学基金(2018JJ2283);湖南省自然科学基金省市联合基金(2020JJ6092)
摘    要:为解决复杂系统可靠性建模分析方法问题,提出一种利用MC(Monte-Carlo)仿真模拟系统可靠性建模分析方法。生成符合要求的单元失效数据样本,依据单元失效与系统失效的逻辑关系开展系统级虚拟试验,获得系统失效仿真数据,并对其进行统计分析得到系统可靠性指标;利用Simulink 对MC 方法进行模块化实现,建立图形化可靠性建模分析仿真工具包。通过各种算例对上述方法的有效性进行验证,结果表明:基于MC 仿真的系统可靠性建模分析方法精度与理论结果相当,且基于Simulink 实现了图形化工具包,便于在复杂系统可靠性建模和分析中实际应用。

关 键 词:系统可靠性  可靠性建模  可靠性分析  Monte-Carlo仿真  可靠性仿真
收稿时间:2022-02-27
修稿时间:2022-03-28

Analysis of System Reliability Modeling Based on MC Simulation
Zhang Chunhua,Zhou Zeyun,Zhou Ting,Wang Guilin. Analysis of System Reliability Modeling Based on MC Simulation[J]. Ordnance Industry Automation, 2022, 41(6): 78-84. DOI: 10.7690/bgzdh.2022.06.015
Authors:Zhang Chunhua  Zhou Zeyun  Zhou Ting  Wang Guilin
Abstract:In order to solve the problem of complex system reliability modeling and analysis method, a reliabilitymodeling and analysis method based on MC (Monte-Carlo) simulation is proposed. The unit failure data samples meetingthe requirements are generated, and the system-level virtual test is carried out according to the logical relationship betweenunit failure and system failure to obtain the system failure simulation data, and the system reliability index is obtained bystatistical analysis of the system failure simulation data. The MC method is modularized by Simulink to establish agraphical reliability modeling and analysis simulation toolkit. The effectiveness of the above method is verified by variousexamples, and the results show that the accuracy of the system reliability modeling and analysis method based on MCsimulation is equivalent to the theoretical results, and the graphical toolkit based on Simulink is realized, which isconvenient for practical application in the reliability modeling and analysis of complex systems.
Keywords:system reliability   reliability modeling   reliability analysis   Monte-Carlo simulation   reliability simulation
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