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Article Dans Une Revue Application research of computers Année : 2009

Research of product failure rate based on Bayesian network classifiers

Résumé

For identifying the product failure rate grade with diverse configuration and different operation condition,introduced the useful Bayesian networks classifiers.Also described their algorithms and characters in detail.On the basis of these classifier models,listed the procedure of building product failure rate grade classifier for guiding the modeling and application the actual cases.Carried out the France enterprise case study and the results show that,with the comparison to other Bayesian networks classifiers and traditional decision tree C4.5,the tree augmented nave-Bayes classifier get the best general performance with highest precision,which can build a firm keystone for later maintenance resource distribution and operation optimization.
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Dates et versions

hal-00748728 , version 1 (05-11-2012)

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  • HAL Id : hal-00748728 , version 1

Citer

Zhiqiang Cai, Shudong Sun, Bernard Yannou, Shubin Si. Research of product failure rate based on Bayesian network classifiers. Application research of computers, 2009, 9, pp.CNKI:SUN:JSYJ.0.2009-09-032. ⟨hal-00748728⟩
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