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Reliability Analysis of Random Fuzzy Repairable Series System

  • Conference paper
Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

Abstract

Usually, the lifetimes and repair times of series systems are assumed to be random variables. The probability distributions of the random variables have crisp parameters. In many practical situations, the parameters are difficult to determine due to uncertainties and imprecision of data. So it is appropriate to assume the parameters to be fuzzy variables. In this paper, the lifetimes and repair times of components are assumed to have random fuzzy exponential distributions, then the limiting availability, steady state failure frequency, mean time between failures (MTBF), mean time to repair (MTTR) of the repairable series system are proposed. Finally, a numerical example is presented.

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Author information

Authors and Affiliations

  1. Department of Computer Sciences, Tianjin University of Science and Technology, Tianjin, 300222, China

    Ying Liu, Xiaozhong Li & Guanglei Yang

Authors
  1. Ying Liu
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  2. Xiaozhong Li
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  3. Guanglei Yang
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Liu, Y., Li, X., Yang, G. (2010). Reliability Analysis of Random Fuzzy Repairable Series System. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_30

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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