[1]CUI Tiejun,LI Shasha.Conversion law of fault information in safety science[J].CAAI Transactions on Intelligent Systems,2020,15(2):360-366.[doi:10.11992/tis.201811004]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 2
Page number:
360-366
Column:
学术论文—人工智能基础
Public date:
2020-03-05
- Title:
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Conversion law of fault information in safety science
- Author(s):
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CUI Tiejun1; 2; LI Shasha3
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1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
2. Tunnel and Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028 China;
3. School of Business Administrati
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- Keywords:
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safety science; intelligent science; data science; information ecological methodology; factor space; space fault tree; conversion law of fault information; system reliability
- CLC:
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TP391;X913;C931.1
- DOI:
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10.11992/tis.201811004
- Abstract:
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To obtain fault information and enable safety decision-making in safety science, this study proposes the conversion law of fault information in safety science. System reliability is a core concept of safety science. With the development of information and intelligent science, the theory of system reliability should also be developed. Information ecology methodology is different from traditional mechanical reductionism and can be used to conduct comprehensive research on fault information. Factor space theory is the mathematical basis of intelligent science based on factors. Space fault tree theory is a systematic scientific method used to analyze the relationship between reliability and factors. Therefore, these three methods enable the natural integration of research factors, system changes, and their characteristics. The methodology, intelligent mathematics foundation, and specific implementation platform for the analysis of system reliability are provided herein. Information ecology methodology and factor space theory can guide and integrate the development of a space fault tree. This paper provides the basic theory of safety science with information and intelligent science for system reliability analysis concepts and methods. Moreover, it attempts to integrate information and intelligent science with safety science.