[1]李莎莎,崔铁军.系统故障演化过程中事件状态联系数构建研究[J].智能系统学报,2024,19(2):455-461.[doi:10.11992/tis.202208031]
LI Shasha,CUI Tiejun.Research on the construction of the event state connection number in the system fault evolution process[J].CAAI Transactions on Intelligent Systems,2024,19(2):455-461.[doi:10.11992/tis.202208031]
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LI Shasha,CUI Tiejun.Research on the construction of the event state connection number in the system fault evolution process[J].CAAI Transactions on Intelligent Systems,2024,19(2):455-461.[doi:10.11992/tis.202208031]
系统故障演化过程中事件状态联系数构建研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第2期
页码:
455-461
栏目:
学术论文—人工智能基础
出版日期:
2024-03-05
- Title:
- Research on the construction of the event state connection number in the system fault evolution process
- Keywords:
- system safety; system fault evolution; set pair analysis; event status; connection number; identical discrepancy contrary logic; multisemantics; uncertainty
- 分类号:
- TP181；X913
- 文献标志码:
- 2023-11-17
- 摘要:
- 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。
- Abstract:
- 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 system fault evolution process based on the set pair analysis connection number. The multisemantic state division, representation, 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 analyzed, 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 representation 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 analysis. The quantitative analysis with uncertain data is developed into uncertainty analysis, simplifying the analysis process, and embodying the identical discrepancy contrary characteristics.
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备注/Memo
收稿日期:2022-08-20。
基金项目:国家自然科学基金项目(52004120).
作者简介:李莎莎，特聘教授，博士，安全科学与工程博士后，主要研究方向为系统可靠性、安全管理理论。中国人工智能学会终身会员，国家自然科学基金项目评审专家；《防灾减灾学报》编委，《兵器装备工程学报》青年编委。获省部级科技进步奖6项。主持参与4项国家自然科学基金、国家重点研发计划项目等，授权发明专利10项，出版学术专著6部；发表学术论文近100篇。E-mail：lsslntu@163.com;崔铁军，教授，博士生导师，博士，安全科学与工程博士后，力学博士后，主要研究方向为系统安全学、智能理论、系统故障演化理论。获辽宁青年科技奖、辽宁省优秀科技工作者；第一完成人获省部及学会科技进步奖一等奖2项、二等奖2项、三等奖5项。出版学术专著10部。主持或参与8项国家自然科学基金、国家重点研发计划项目等。授权发明专利26项，发表学术论文300余篇。E-mail：ctj.159@163.com
通讯作者:李莎莎. E-mail：mailto:159@163.com
更新日期/Last Update:
1900-01-01