Complex System Testability Analysis Based on Bayesian Networks under Small Sample

Xi Shan Zhang; Kao Li Huang; Peng Cheng Yan; Guang Yao Lian

doi:10.4028/www.scientific.net/AMM.602-605.1772

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Complex System Testability Analysis Based on...

Complex System Testability Analysis Based on Bayesian Networks under Small Sample

Abstract:

A lot of prior information in complex system test has been accumulated. To use the prior information for complex system testability quantitative analysis, a new complex system testability modeling and analyze method based on Bayesian network is presented. First, the complex system’s testability model is built using various kind of prior information by Bayesian network learning algorithm. Then, the way of assessing the testability of complex system is provided using the inference algorithm of Bayesian network. Finally, some proper examples are provided to prove the method’s validity.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1772-1777

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1772

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Online since:

August 2014

Authors:

Xi Shan Zhang*, Kao Li Huang, Peng Cheng Yan, Guang Yao Lian

Keywords:

Bayesian Network (BN), Complex System, Small Sample, Testability Analysis

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* - Corresponding Author

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