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The International Conference on Cyber Security Intelligence and Analytics

CSIA 2020: Cyber Security Intelligence and Analytics pp 172–179Cite as

A Reliability Analysis Method of Multiple Components System Based on Copula Function

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1146))

Abstract

Through analysis the characteristics of multiple components system with tri-states, this paper builds a reliability model for the tri-states system with failure dependent, which suppose the system has three states: work, failure of safety and failure of danger. The component included in the system have two kinds of state: work or failure. The components failure behavior between components are interdependent. Through the use of copulas function, we derived the reliability index for system under different structure with the dependency of components, and obtain the mathematical formula of probability of work, failure of safety and failure of danger, mean time to failure of safety, mean time to failure of danger, which makes reliability analysis more accurate.

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Author information

Authors and Affiliations

  1. Naval Aeronautical University, Yantai, 264001, China

    Fei Teng

  2. Beijing Special Engineering Design Institute, Beijing, 100000, China

    Fei Teng, Xiaoming Wang, Yuliang Li & Wenke Hou

Authors
  1. Fei Teng
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  2. Xiaoming Wang
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  3. Yuliang Li
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  4. Wenke Hou
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Corresponding author

Correspondence to Xiaoming Wang .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Zheng Xu

  2. Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. Manchester Metropolitan University, Stockport, UK

    Mohammad Hammoudeh

  4. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

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Teng, F., Wang, X., Li, Y., Hou, W. (2020). A Reliability Analysis Method of Multiple Components System Based on Copula Function. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_25

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