July 2010
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5 Reads
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1 Citation
To enhance the ability of methods to interpret and infer uncertain information in the source tracing of machining errors, Bayesian Networks was introduced. The modeling method and inference procedures of machining errors source tracing based on Bayesian Networks were presented. On one hand, actual machining conditions and machining error phenomena were taken as complex evidences; on the other hand, by using Bayesian Networks inference, the probability of each cause was obtained and the maximum probability path was searched; and then a diagnosis method for uncertain information was provided. At last, a case study for the machining error source tracing of the connection holes on the rotor flange was reported to verify the proposed approach.