Two Cascade Fault Models in Bayesian Networks

Yao Wang; Qin Sun; Lin Ying Liu

doi:10.4028/www.scientific.net/AMR.756-759.3153

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Two Cascade Fault Models in Bayesian Networks

Two Cascade Fault Models in Bayesian Networks

Abstract:

Based on a common Bayesian network that models a system which has a cascade fault, this paper designs a new Bayesian network model and compares the two models according to experiment data. The experimental result shows that the new one is more consistent with the practical situation. The paper also gives a method for constructing a Bayesian network that models a system which has a cascade fault, a method efficient in the field of detecting cascade fault.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3153-3156

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3153

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Online since:

September 2013

Authors:

Yao Wang, Qin Sun, Lin Ying Liu

Keywords:

Bayesian Network (BN), Cascade Fault, Conditional Probability Tables, Model

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References

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