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系统故障演化过程中事件状态联系数构建研究

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由于故障数据提取、表示、分析和处理过程存在不确定性,给系统故障演化过程研究带来困难,为此,提出一种基于集对分析联系数的系统故障演化过程事件状态联系数构建方法.基于联系数对多语义状态划分及同异反状态的表示分析能力,以系统安全为目标进行研究.分析已有精确系统故障演化过程分析方法的不足;将事件发生概率分布划分为安全、不确定、不安全三状态等效同异反状态,进而确定状态分项系数得到事件状态联系数;通过同异反真值表确定结果事件状态联系数.结果表明,得到的事件状态联系数符合联系数构造条件和逻辑真值关系,进而获得系统故障演化过程的事件演化表示方法,也可使用集对分析的已有方法进行相关研究.研究搭建集对分析理论与系统安全分析的桥梁,将蕴含不确定数据的定量分析发展为不确定性分析,化简分析过程并体现同异反特征.
Research on the construction of the event state connection number in the system fault evolution process
Due to the uncertainty of fault data extraction,representation,analysis,and processing,examining the system fault evolution process is difficult.Herein,we design a construction method of event state connection number in the sys-tem fault evolution process based on the set pair analysis connection number.The multisemantic state division,repres-entation,and analysis ability of the identical discrepancy contrary states based on the connection number are explored in terms of system safety.First,the drawbacks of current accurate system fault evolution process analysis methods are ana-lyzed,dividing the probability distribution of event occurrence into three states:safety,uncertainty,and unsafety,which are equivalent to the identical discrepancy contrary states,and then the partial coefficient of the state is determined to obtain the event state connection number.Finally,the state connection number of the result event is determined through the identical discrepancy contrary truth table.It is revealed that the resulting event state connection number conforms to the construction condition of the connection number and logical truth relationship,and then,the event evolution repres-entation method of the system fault evolution process can be acquired.The current methods of set pair analysis can also be employed for related research.The research builds a bridge between set pair analysis theory and system safety analys-is.The quantitative analysis with uncertain data is developed into uncertainty analysis,simplifying the analysis process,and embodying the identical discrepancy contrary characteristics.

system safetysystem fault evolutionset pair analysisevent statusconnection numberidentical discrep-ancy contrary logicmultisemanticsuncertainty

李莎莎、崔铁军

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沈阳理工大学 环境与化学工程学院, 辽宁 沈阳 110159

系统安全 系统故障演化 集对分析 事件状态 联系数 同异反逻辑 多语义 不确定性

国家自然科学基金

52004120

2024

智能系统学报
中国人工智能学会 哈尔滨工程大学

智能系统学报

CSTPCD北大核心
影响因子:0.672
ISSN:1673-4785
年,卷(期):2024.19(2)
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