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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 181))

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Abstract

According to the requirements of self-repair and reconfiguration to weapon system, and the characters of distribute systems, the distribute weapon system has lots of function nodes and complex inner structure. Study on advanced method of fault detection of distribute weapon system becomes the focus of weapon maintain and logistic. The paper use the complex networks theory to model the distribute system; use the community structure of complex networks to analyze the structure of system, the method of granular delaminating reasoning has been used to predigest the question space. At last use the distribute test system as an example to test the method, which shows new trains of thought for distribute weapon system fault detection.

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References

  1. Iri, M.: A graphical approach to the problem of locating the origin of the system failure. Journal of the Operational Research Society 23, 295–311 (1980)

    MATH  MathSciNet  Google Scholar 

  2. Kokawa, Miyazaki, S., Shingai, S.: Fault location using digraph and inverse direction search with application. Automatica 19, 729–735 (1983)

    Article  Google Scholar 

  3. Mori, S.: Autonomous Decentralized Systems–From Concept to Application. Science Press, Beijing (2008)

    Google Scholar 

  4. Bargiela, A., Pedrycz, W.: Granular Computing: An Introduction. Kluwer Academic Publishers (2003)

    Google Scholar 

  5. Zhang, L., Zhang, B.: The theory and application of tolerance relations. International Journal of Granular Computing, Rough Sets and Intelligent Systems 1(2), 179–189 (2009)

    Article  Google Scholar 

  6. Zhang, Y., Luo, B., Yao, Y.: Quotient Space and Granular Computing–Structure Problem Solving Theory and Method. Science Press, Beijing (2010)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Hang, Y., Ming-Qing, X., Li-An, C. (2013). Fault Detection Based on Granular Delaminating Reasoning. In: Yang, G. (eds) Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Advances in Intelligent Systems and Computing, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31698-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-31698-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31697-5

  • Online ISBN: 978-3-642-31698-2

  • eBook Packages: EngineeringEngineering (R0)

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