On Machine Measurement of Probe Error Research Based on Bayesian Network

Probe calibration is carried out under specific conditions; most of the error caused by the change of speed parameter has not been corrected, In order to reduce the measuring error influence on measurement accuracy, analyze the relationship between speed parameter and probe error, and using Bayesian network to establish the model of probe error. Model takes account of prior knowledge and sample data, with the updating of data, which can reflect the change of the errors of the probe and constantly revised modeling results.