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Dynamic error modeling research of on-machine measurement system based on Bayesian network

机译:基于贝叶斯网络的机床测量系统动态误差建模研究

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Production rhythm speeding up, requiring the on-machine measurement quick and accurate, however, the measurement speed is increased along with the increase of dynamic error, so the study of dynamic error about on-machine measurement system is particularly important. This paper introduced Bayesian network to the study of dynamic error modeling about on-machine measurement system, effectively expressed the relationship between the error sources and the dynamic error, and verified the feasibility of this method.
机译:生产节奏加速,需要机上测量快速准确,但是,随着动态误差的增加,测量速度随着动态误差的增加而增加,因此对机器测量系统的动态误差的研究尤为重要。本文介绍了贝叶斯网络对动态误差建模的研究,关于机测量系统,有效地表达了误差源与动态误差之间的关系,并验证了这种方法的可行性。

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