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Use of Bayesian Networks in estimating the reliability of distributed communication systems

  • Bahman Honari
  • , John Donovan
  • , Ben Flood
  • , Eamonn Murphy
    • Atlantic Technological University
    • School of Engineering
    • University of Limerick

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)

    Abstract

    Bayesian Network (BN) is a probabilistic methodology used to model and predict the behaviour of a particular system based on its observed stochastic events called information variables. In this paper we show how to use a BN as a multivariate statistical technique to evaluate the reliability of a "k-out-of-n:F" system and to study of its sensitivity with respect to component failure. An example of a communication system is chosen where antennas are arranged in a grid matrix. A BN is used to evaluate the probability of critical failure developing that causes a complete system shutdown. This type of problem is difficult to solve by traditional reliability methods. The solution to this problem allows one to determine the optimum inspection and maintenance period of communication systems in remote geographical locations.

    Original languageEnglish
    Title of host publication2006 Proceedings - 12th ISSAT International Conference on Reliability and Quality in Design
    Pages25-29
    Number of pages5
    Publication statusPublished - 2006
    Event12th ISSAT International Conference on Reliability and Quality in Design - Chicago, IL, United States
    Duration: 3 Aug 20065 Aug 2006

    Publication series

    Name2006 Proceedings - 12th ISSAT International Conference on Reliability and Quality in Design

    Conference

    Conference12th ISSAT International Conference on Reliability and Quality in Design
    Country/TerritoryUnited States
    CityChicago, IL
    Period3/08/065/08/06

    Keywords

    • Bayesian Networks (BNs)
    • Directed Acyclic Graph (DAG)
    • K-out-of-n:F System
    • Reliability

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