[1]CUI Tiejun,LI Shasha.Research on system fault analysis principle based on artificial intelligence system[J].CAAI Transactions on Intelligent Systems,2021,16(4):785-791.[doi:10.11992/tis.202003046]
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Research on system fault analysis principle based on artificial intelligence system
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
16
Number of periods:
2021 4
Page number:
785-791
Column:
学术论文—人工智能基础
Public date:
2021-07-05
- Title:
- Research on system fault analysis principle based on artificial intelligence system
- Keywords:
- safety system engineering; space fault tree; intelligent science; system fault; analysis principle; information ecology methodology; system movement space; system mapping
- CLC:
- TP391;X913;C931.1
- DOI:
- 10.11992/tis.202003046
- Abstract:
- To study the ability of system fault prediction, prevention, control, and recovery under the control of artificial intelligence, an artificial intelligence system fault analysis method based on information ecology methodology is proposed. The research object is divided into human beings, function, nature, and intelligent system. Taking the intelligent system as the core, the fault information, knowledge, and intelligent safety generation principle are studied. In addition, the characteristics of basic fault consciousness, emotion, and reason are discussed. Results show that the artificial intelligence system fault analysis method must adopt the information ecology methodology in combination with safety science theory. The analysis principle is based on the information ecology methodology, considering the comprehensive decision and response of basic fault consciousness, emotion and reason, and real-time fault semantic information, to ensure that the system can complete the predetermined function under the specified conditions.
- References:
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1900-01-01