The Study of Error Separation in On-Site Measurement Based on Bayesian Network

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The measurement error contains many errors in NC machine tools processing and those errors will be mapped to workpiece at certain regularity. The control of error caused by cutting parameters during the precision and ultra precision process is one of the key technologies in NC machine tools processing. This article introduces Bayesian networks into the dynamic error separation modeling, with the learning process of Bayesian network structure and establishes the error separation model based on Bayesian networks, then carries out the comparison and analysis between simulate and experimental data to verify the feasibility of the method.

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Edited by:

Mohamed Othman

Pages:

1369-1372

Citation:

L. W. Yan and Q. B. He, "The Study of Error Separation in On-Site Measurement Based on Bayesian Network", Applied Mechanics and Materials, Vols. 229-231, pp. 1369-1372, 2012

Online since:

November 2012

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