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| Bayesian Networks Modeling Based on Small Samples for VariationSource Diagnosis |
| LIU Yin-Hua, JIN Sun |
| （Shanghai Key Laboratory of Digital Autobody Engineering, Shanghai Jiaotong University, Shanghai 200240, China） |
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Abstract Based on the small samples collected in the assembly process, a new approach based on Bayesian networks was proposed for the variationsource diagnsosis. The conditional independence testing algorithm was proposed to obtain the structure of Bayesian networks. After the prior conditonal probabilities are calculated based on the mapping of the variation simulation model, posterior conditonal probabilities are updated by incorporating the small sample data. The results of the body side case show the method is effective and acurate for fixture fault diangosis.
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Received: 15 September 2011
Published: 28 May 2012
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