[1]CUI Tiejun,LI Shasha.System fault-pattern recognition based on set pair analysis with multiple factors[J].CAAI Transactions on Intelligent Systems,2022,17(2):387-392.[doi:10.11992/tis.202011006]
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System fault-pattern recognition based on set pair analysis with multiple factors
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
17
Number of periods:
2022 2
Page number:
387-392
Column:
学术论文—人工智能基础
Public date:
2022-03-05
- Title:
- System fault-pattern recognition based on set pair analysis with multiple factors
- Keywords:
- intelligent science; safety system engineering; space fault tree theory; multi factor influence; set pair analysis; fault pattern; recognition method; connection degree and recognition degree
- CLC:
- TP18; X913; C931.1
- DOI:
- 10.11992/tis.202011006
- Abstract:
- To study system fault-pattern recognition under the influence of multiple factors, a sample fault pattern was analyzed according to the existing standard fault patterns. A system fault-pattern recognition method based on the set pair analysis connection number and fault distribution is proposed. On the basis of the fault data, we developed the fault-pattern recognition system, analyzed the fault sample and standard fault patterns, determined the relating components and their connection degrees, and calculated the connection and recognition degrees. Finally, the relationship between fault sample and standard fault patterns was determined to complete the identification. An example based on an electrical system analysis showed the process of the method by achieving efficient pattern recognition and proving its effectiveness. This study provides targeted decision-making support for taking preventive and governance measures.
- References:
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1900-01-01