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Journal of Projectiles, Rockets, Missiles and Guidance >

2013 , Vol. 33 >Issue 2: 177 - 181

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2013.02.001

CORRELATION TECHNOLOGY

Hybrid Diagnostic Bayesian Networks Based Uncertain Testability Modeling and Prediction

  • WANG Baolong ,
  • HUANG Kaoli ,
  • ZHANG Liang ,
  • HAO Lina
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  • 1 Beijing Aerospace Control Center, Beijing 100094, China
    2 Ordnance Engineering College, Shijiazhuang 050003, China

Received date: 2012-02-28

  Online published: 2025-05-26

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Abstract

In view of ignorance of uncertain problem existed in test and diagnosis, current testability prediction method tends to be inaccurate. The hybrid diagnostic Bayesian networks can model the uncertain relationship between tests and failure sources, failure modes and functions. In the paper, a method of hybrid diagnostic Bayesian networks was given based on uncertain testability modeling and prediction, which is compatible with IEEE Std 1522. The model of hybrid diagnostic Bayesian Networks is a kind of enhanced diagnostic inference model which can provide testability prediction solution with high accuracy.

Key words： Bayesian networks; hybrid diagnostic model; testability; uncertainty; prediction

Cite this article

WANG Baolong , HUANG Kaoli , ZHANG Liang , HAO Lina . Hybrid Diagnostic Bayesian Networks Based Uncertain Testability Modeling and Prediction[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2013 , 33(2) : 177 -181 . DOI: 10.15892/j.cnki.djzdxb.2013.02.001

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