Notice of RetractionError separation in on-site measurement of NC machine based on Bayesian network

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

On-site measurement that is machining and measurement integration technology, is a trend of high-precision NC machine tools the dynamic error of on-site Measuring in NC Machine of the processing components include many kinds of errors, such as: Processing system error, measuring method error, etc, These error will be through a certain rule mapping to the processing components, we can minimize the dynamic error´s impact on processing and measuring by on-site Measuring of NC Machine and the effective separation studying of the measurement error. This paper will introduce Bayesian networks to dynamic error separation and modeling in on-site measuring, show the process of studying the Bayesian networks structure, make experiments and analysis with simulated and real data, and verify the feasibility of this method.