[1]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]
Copy
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
19
Number of periods:
2024 2
Page number:
455-461
Column:
学术论文—人工智能基础
Public date:
2024-03-05
- Title:
-
Research on the construction of the event state connection number in the system fault evolution process
- Author(s):
-
LI Shasha; CUI Tiejun
-
School of Environmental and Chemical Engineering, Shenyang Ligong University, Shenyang 110159, China
-
- Keywords:
-
system safety; system fault evolution; set pair analysis; event status; connection number; identical discrepancy contrary logic; multisemantics; uncertainty
- CLC:
-
TP181;X913
- DOI:
-
10.11992/tis.202208031
- 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.