[1]CUI Tiejun,LI Shasha.Research on extension representation of logical relationships between events in SFEP[J].CAAI transactions on intelligent systems,2026,21(5):1313-1322.[doi:10.11992/tis.202509018]
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Research on extension representation of logical relationships between events in SFEP

CAAI transactions on intelligent systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 21 Number of periods: 2026 5 Page number: 1313-1322 Column: 学术论文—智能系统 Public date: 2026-09-05
Title:
Research on extension representation of logical relationships between events in SFEP
Author(s):
CUI Tiejun1; 2;  LI Shasha1; 2
1. School of Environmental and Chemical Engineering, Shenyang Ligong University, Shenyang, 110159, China;
2. Liaoning Safety Engineering Industry School, Shenyang Ligong University, Shenyang, 110159, China
Keywords:
safety system engineering; event logic; system fault evolution; flexible logic; extension representation
CLC:
TP181；X913
DOI:
10.11992/tis.202509018
Abstract:
In order to further realize the extension representation of the system fault evolution process (SFEP) and realize the analysis of the unity of opposites of SFEP, this paper establishes an extension representation method for the logical relationships between events. Firstly, the extension principle of SFEP is provided, and the extension representation of experience events, influencing factors, and evolution conditions is defined. Secondly, the extension representation of the logical relationships between events, the flexible logic, and the calculation of the system fault probability are realized. Finally, the significance of the research is discussed. The research shows that SFEP possesses a contradictory unity; there are essential differences between logical relationships and evolutionary conditions. The "and-or" logical relationships between cause and result events are divided into four types, and their extension representation and system fault probability calculation methods are obtained. All 20 kinds of flexible logic can be obtained by the superposition of "and/or" logic, and their extension representation and system fault probability calculation are realized. The paper realizes the description of multiple logical relationships of multi-cause-result events. The significance lies in revealing the mechanism of interaction between events through formal and quantitative methods, and providing methods and techniques for system fault analysis.
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Last Update: 2026-09-05

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